Master Multiomics Simulation Benchmarking Pipeline
Source:R/09_evaluate_benchmark.R
evaluate_multiomics_accuracy.RdOrchestrates comprehensive benchmarking across all 7 evaluation categories using strictly the user's provided inputs:
ref_multi: List of reference omics matrices (e.g.list(rna = ..., atac = ...)).sim_multi: List of simulated omics matrices (e.g.list(rna = ..., atac = ...)).cell_types: Vector/factor of cell-type identities.batch_info: Vector/factor of batch or donor annotations.Computational resource usage:
cpu_time,memory_mb,system_time.Trajectory features inferred directly from scRNA-seq counts.
Usage
evaluate_multiomics_accuracy(
ref_multi,
sim_multi,
cell_types = NULL,
batch_info = NULL,
pairing = c("paired", "unpaired"),
is_paired = NULL,
memory_mb = NULL,
elapsed_time = NULL,
peak_memory_mb = NULL,
feature_pairs = NULL,
compute_bivariate = FALSE,
threads = 1,
verbose = TRUE
)Arguments
- ref_multi
Named list of reference matrices for Modality 1 and 2.
- sim_multi
Named list of simulated matrices for Modality 1 and 2.
- cell_types
Optional factor or vector of cell type labels for cells.
- batch_info
Optional factor or vector of batch labels for cells.
- pairing
Character string specifying whether the multiomics dataset is
"paired"(simultaneous co-assay from the same individual cells, e.g., 10x Chromium Multiome, SHARE-seq, SNARE-seq) or"unpaired"(independent profiling of modalities from separate cells of the same biological tissue). Default is"paired". In"unpaired"mode, cell-level pairing metrics (FOSCTTM, Match@1, cross-modal generation, and direct peak-to-gene coupling) are skipped, while population-level cross-modal metrics (cross-modal label transfer, co-expression module fidelity, peak co-accessibility, and accessibility profile concordance) are computed alongside all unimodal metrics.- is_paired
Optional logical alias for
pairing. If provided,TRUEcorresponds to"paired"andFALSEto"unpaired".- memory_mb
Optional numeric value of peak memory allocation in MB (or peak_memory_mb).
- elapsed_time
Optional numeric value of wall-clock elapsed time in seconds.
- peak_memory_mb
Optional alias for
memory_mb.- feature_pairs
Optional 2-column data.frame of linked feature pairs.
- compute_bivariate
Logical, whether to compute 2D bivariate tests. Default FALSE for speed.
- threads
Number of CPU threads. Default is 1.
- verbose
Logical, whether to print execution progress. Default is TRUE.
Details
Multiomics Metric Measurement Capacity by Experimental Design & Metadata:
Paired Multiomics (e.g. 10x Chromium Multiome, SHARE-seq, SNARE-seq):
Count Matrices Alone (RNA + ATAC): Measures approximately 48 metrics spanning both unimodal distribution layers (Categories I, II, VI, VIII across both modalities) plus Category VII Cross-Modal Coupling (FOSCTTM alignment score, Match@1 nearest neighbor accuracy, cross-modal generative prediction accuracy/F1, RV coefficient, and peak-to-gene regulatory correlation).
+ Cell Types: Unlocks 15–20 additional metrics for cross-modal cell-type concordance and cell-type specific epigenetic promoter/enhancer activity.
+ Batch Info: Unlocks 10–14 additional metrics evaluating technical confounder integration across both RNA and ATAC modalities.
+ Both (Full Metadata): Unlocks the complete multiomics suite of all 62 metrics across all 8 categories.
Unpaired Multiomics (independent scRNA and scATAC from separate cells):
Count Matrices Alone (RNA + ATAC): Measures approximately 38–42 metrics spanning unimodal distributions for both layers plus population-level cross-modal metrics (co-expression module fidelity, Network Jaccard similarity, cross-modality correlation).
+ Cell Types (Crucial for Unpaired): Unlocks 15–20 additional metrics for cluster-matched label transfer concordance and cell-type matched regulatory linkage.
+ Batch Info: Unlocks 7–12 additional metrics evaluating batch integration.
Examples
data(example_multiomics, package = "scSimEval")
evaluate_multiomics_accuracy(example_multiomics$ref_multi, example_multiomics$sim_multi)
#> === [Step 1] Evaluating rna Layer Accuracy ===
#> [1/5] Extracting cell-level properties...
#> [2/5] Extracting feature-level properties...
#> [3/5] Computing univariate accuracy metrics...
#> Metric: 'bhattacharyya' with unit: 'log'; comparing: 2 vectors
#> Metric: 'bhattacharyya' with unit: 'log'; comparing: 2 vectors
#> Metric: 'bhattacharyya' with unit: 'log'; comparing: 2 vectors
#> Metric: 'bhattacharyya' with unit: 'log'; comparing: 2 vectors
#> Metric: 'bhattacharyya' with unit: 'log'; comparing: 2 vectors
#> Metric: 'bhattacharyya' with unit: 'log'; comparing: 2 vectors
#> Metric: 'bhattacharyya' with unit: 'log'; comparing: 2 vectors
#> Metric: 'bhattacharyya' with unit: 'log'; comparing: 2 vectors
#> Metric: 'bhattacharyya' with unit: 'log'; comparing: 2 vectors
#> Metric: 'bhattacharyya' with unit: 'log'; comparing: 2 vectors
#> Metric: 'bhattacharyya' with unit: 'log'; comparing: 2 vectors
#> [5/5] Computing zero-probability and manifold distances...
#> Unimodal accuracy evaluation complete.
#> === [Step 2] Evaluating atac Layer Accuracy ===
#> [1/5] Extracting cell-level properties...
#> [2/5] Extracting feature-level properties...
#> [3/5] Computing univariate accuracy metrics...
#> Metric: 'bhattacharyya' with unit: 'log'; comparing: 2 vectors
#> Metric: 'bhattacharyya' with unit: 'log'; comparing: 2 vectors
#> Metric: 'bhattacharyya' with unit: 'log'; comparing: 2 vectors
#> Metric: 'bhattacharyya' with unit: 'log'; comparing: 2 vectors
#> Metric: 'bhattacharyya' with unit: 'log'; comparing: 2 vectors
#> Metric: 'bhattacharyya' with unit: 'log'; comparing: 2 vectors
#> Metric: 'bhattacharyya' with unit: 'log'; comparing: 2 vectors
#> Metric: 'bhattacharyya' with unit: 'log'; comparing: 2 vectors
#> Metric: 'bhattacharyya' with unit: 'log'; comparing: 2 vectors
#> Metric: 'bhattacharyya' with unit: 'log'; comparing: 2 vectors
#> Metric: 'bhattacharyya' with unit: 'log'; comparing: 2 vectors
#> [5/5] Computing zero-probability and manifold distances...
#> Unimodal accuracy evaluation complete.
#> === [Step 6] Evaluating Trajectory & Lineage Dynamics Inferred from scRNA-seq ===
#> Metric: 'bhattacharyya' with unit: 'log'; comparing: 2 vectors
#> === [Step 7] Evaluating Cross-Modality Regulatory Linkage & Alignment (Paired Mode) ===
#> Metric: 'bhattacharyya' with unit: 'log'; comparing: 2 vectors
#> Master multiomics benchmarking complete.
#> $benchmark_summary_table
#> Category Property
#> 1 Distributional Properties library_size
#> 2 Distributional Properties library_size
#> 3 Distributional Properties library_size
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#> 14 Distributional Properties log_library_size
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#> 23 Distributional Properties log_library_size
#> 24 Distributional Properties log_library_size
#> 25 Distributional Properties log_library_size
#> 26 Distributional Properties log_library_size
#> 27 Distributional Properties zero_fraction_cell
#> 28 Distributional Properties zero_fraction_cell
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#> 30 Distributional Properties zero_fraction_cell
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#> 40 Distributional Properties cell_cor
#> 41 Distributional Properties cell_cor
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#> 44 Distributional Properties cell_cor
#> 45 Distributional Properties cell_cor
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#> 48 Distributional Properties cell_cor
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#> 50 Distributional Properties cell_cor
#> 51 Distributional Properties cell_cor
#> 52 Distributional Properties cell_cor
#> 53 Distributional Properties mean_expression
#> 54 Distributional Properties mean_expression
#> 55 Distributional Properties mean_expression
#> 56 Distributional Properties mean_expression
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#> 92 Distributional Properties cv
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#> 104 Distributional Properties cv
#> 105 Distributional Properties zero_fraction_feature
#> 106 Distributional Properties zero_fraction_feature
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#> 108 Distributional Properties zero_fraction_feature
#> 109 Distributional Properties zero_fraction_feature
#> 110 Distributional Properties zero_fraction_feature
#> 111 Distributional Properties zero_fraction_feature
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#> 114 Distributional Properties zero_fraction_feature
#> 115 Distributional Properties zero_fraction_feature
#> 116 Distributional Properties zero_fraction_feature
#> 117 Distributional Properties zero_fraction_feature
#> 118 Distributional Properties dispersion
#> 119 Distributional Properties dispersion
#> 120 Distributional Properties dispersion
#> 121 Distributional Properties dispersion
#> 122 Distributional Properties dispersion
#> 123 Distributional Properties dispersion
#> 124 Distributional Properties dispersion
#> 125 Distributional Properties dispersion
#> 126 Distributional Properties dispersion
#> 127 Distributional Properties dispersion
#> 128 Distributional Properties dispersion
#> 129 Distributional Properties dispersion
#> 130 Distributional Properties dispersion
#> 131 Distributional Properties gene_cor
#> 132 Distributional Properties gene_cor
#> 133 Distributional Properties gene_cor
#> 134 Distributional Properties gene_cor
#> 135 Distributional Properties gene_cor
#> 136 Distributional Properties gene_cor
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#> 143 Distributional Properties gene_cor
#> 144 Distributional Properties dropout_curve
#> 145 Distributional Properties dropout_curve
#> 146 Distributional Properties dropout_curve
#> 147 Distributional Properties excess_zero_weights
#> 148 Cellular Structure & Mixing manifold
#> 149 Cellular Structure & Mixing manifold
#> 150 Cellular Structure & Mixing manifold
#> 151 Cellular Structure & Mixing manifold
#> 152 Distributional Properties library_size
#> 153 Distributional Properties library_size
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#> 165 Distributional Properties log_library_size
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#> 177 Distributional Properties log_library_size
#> 178 Distributional Properties zero_fraction_cell
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#> 180 Distributional Properties zero_fraction_cell
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#> 190 Distributional Properties zero_fraction_cell
#> 191 Distributional Properties cell_cor
#> 192 Distributional Properties cell_cor
#> 193 Distributional Properties cell_cor
#> 194 Distributional Properties cell_cor
#> 195 Distributional Properties cell_cor
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#> 203 Distributional Properties cell_cor
#> 204 Distributional Properties mean_expression
#> 205 Distributional Properties mean_expression
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#> 217 Distributional Properties variance
#> 218 Distributional Properties variance
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#> 243 Distributional Properties cv
#> 244 Distributional Properties cv
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#> 255 Distributional Properties cv
#> 256 Distributional Properties zero_fraction_feature
#> 257 Distributional Properties zero_fraction_feature
#> 258 Distributional Properties zero_fraction_feature
#> 259 Distributional Properties zero_fraction_feature
#> 260 Distributional Properties zero_fraction_feature
#> 261 Distributional Properties zero_fraction_feature
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#> 268 Distributional Properties zero_fraction_feature
#> 269 Distributional Properties dispersion
#> 270 Distributional Properties dispersion
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#> 275 Distributional Properties dispersion
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#> 279 Distributional Properties dispersion
#> 280 Distributional Properties dispersion
#> 281 Distributional Properties dispersion
#> 282 Distributional Properties gene_cor
#> 283 Distributional Properties gene_cor
#> 284 Distributional Properties gene_cor
#> 285 Distributional Properties gene_cor
#> 286 Distributional Properties gene_cor
#> 287 Distributional Properties gene_cor
#> 288 Distributional Properties gene_cor
#> 289 Distributional Properties gene_cor
#> 290 Distributional Properties gene_cor
#> 291 Distributional Properties gene_cor
#> 292 Distributional Properties gene_cor
#> 293 Distributional Properties gene_cor
#> 294 Distributional Properties gene_cor
#> 295 Distributional Properties dropout_curve
#> 296 Distributional Properties dropout_curve
#> 297 Distributional Properties dropout_curve
#> 298 Distributional Properties excess_zero_weights
#> 299 Cellular Structure & Mixing manifold
#> 300 Cellular Structure & Mixing manifold
#> 301 Cellular Structure & Mixing manifold
#> 302 Cellular Structure & Mixing manifold
#> 303 Trajectory Dynamics pseudotime
#> 304 Cross-Modal Relationships cross_feature_correlation
#> 305 Cross-Modal Relationships cross_feature_correlation
#> 306 Cross-Modal Relationships cross_feature_correlation
#> 307 Cross-Modal Relationships cross_feature_correlation
#> 308 Cross-Modal Relationships cross_feature_correlation
#> 309 Cross-Modal Relationships cross_feature_correlation
#> 310 Cross-Modal Relationships cross_feature_correlation
#> 311 Cross-Modal Relationships cell_alignment
#> 312 Cross-Modal Relationships cell_alignment
#> 313 Cross-Modal Relationships in_silico_generation
#> 314 Cross-Modal Relationships in_silico_generation
#> 315 Cross-Modal Relationships regulatory_coupling
#> 316 Cross-Modal Relationships chromatin_coaccessibility
#> 317 Cross-Modal Relationships coexpression_modularity
#> 318 Cross-Modal Relationships accessibility_profile
#> Metric Value Modality
#> 1 MAD 1.500000e+01 rna
#> 2 KS 2.125000e-01 rna
#> 3 MAE 1.506250e+01 rna
#> 4 RMSE 1.571504e+01 rna
#> 5 OV 8.370258e-01 rna
#> 6 Bhattacharyya 1.188839e-04 rna
#> 7 Wasserstein 1.506250e+01 rna
#> 8 ECDF_DiffArea 7.664975e-02 rna
#> 9 Runs_Statistic -1.744748e+00 rna
#> 10 Runs_PValue 4.051437e-02 rna
#> 11 NN_Mismatch 1.750000e-01 rna
#> 12 Between_Dataset_Silh_Global 2.247078e-02 rna
#> 13 Between_Dataset_Silh_Local 8.545733e-02 rna
#> 14 MAD 6.363671e-02 rna
#> 15 KS 2.125000e-01 rna
#> 16 MAE 6.194965e-02 rna
#> 17 RMSE 6.566950e-02 rna
#> 18 OV 8.430797e-01 rna
#> 19 Bhattacharyya 3.834591e-06 rna
#> 20 Wasserstein 6.194965e-02 rna
#> 21 ECDF_DiffArea 7.348677e-02 rna
#> 22 Runs_Statistic -1.744748e+00 rna
#> 23 Runs_PValue 4.051437e-02 rna
#> 24 NN_Mismatch 1.875000e-01 rna
#> 25 Between_Dataset_Silh_Global 2.176201e-02 rna
#> 26 Between_Dataset_Silh_Local 8.478123e-02 rna
#> 27 MAD 1.666667e-02 rna
#> 28 KS 1.250000e-01 rna
#> 29 MAE 1.562500e-02 rna
#> 30 RMSE 1.980811e-02 rna
#> 31 OV 8.802602e-01 rna
#> 32 Bhattacharyya 8.854773e-04 rna
#> 33 Wasserstein 1.562500e-02 rna
#> 34 ECDF_DiffArea 5.742187e-02 rna
#> 35 Runs_Statistic -9.358194e+00 rna
#> 36 Runs_PValue 4.055568e-21 rna
#> 37 NN_Mismatch 6.875000e-01 rna
#> 38 Between_Dataset_Silh_Global 7.524680e-03 rna
#> 39 Between_Dataset_Silh_Local -2.434506e-02 rna
#> 40 MAD 4.267661e-03 rna
#> 41 KS 2.245514e-02 rna
#> 42 MAE 4.568140e-03 rna
#> 43 RMSE 5.551208e-03 rna
#> 44 OV 9.807474e-01 rna
#> 45 Bhattacharyya 4.473713e-05 rna
#> 46 Wasserstein 4.568140e-03 rna
#> 47 ECDF_DiffArea 4.923327e-03 rna
#> 48 Runs_Statistic -2.453094e+00 rna
#> 49 Runs_PValue 7.081668e-03 rna
#> 50 NN_Mismatch 5.666667e-02 rna
#> 51 Between_Dataset_Silh_Global -2.167666e-05 rna
#> 52 Between_Dataset_Silh_Local -2.201439e-03 rna
#> 53 MAD 2.571903e-01 rna
#> 54 KS 2.055826e-01 rna
#> 55 MAE 2.473408e-01 rna
#> 56 RMSE 2.887192e-01 rna
#> 57 OV 9.012474e-01 rna
#> 58 Bhattacharyya 3.690266e-05 rna
#> 59 Wasserstein 2.473408e-01 rna
#> 60 ECDF_DiffArea 4.242507e-02 rna
#> 61 Runs_Statistic 3.666923e-01 rna
#> 62 Runs_PValue 6.430757e-01 rna
#> 63 NN_Mismatch 5.000000e-02 rna
#> 64 Between_Dataset_Silh_Global -9.070018e-05 rna
#> 65 Between_Dataset_Silh_Local -7.418733e-03 rna
#> 66 MAD 1.969816e+00 rna
#> 67 KS 1.533879e-01 rna
#> 68 MAE 2.036911e+00 rna
#> 69 RMSE 2.271370e+00 rna
#> 70 OV 8.934605e-01 rna
#> 71 Bhattacharyya 3.196235e-04 rna
#> 72 Wasserstein 2.036911e+00 rna
#> 73 ECDF_DiffArea 6.630962e-02 rna
#> 74 Runs_Statistic -3.666923e-01 rna
#> 75 Runs_PValue 3.569243e-01 rna
#> 76 NN_Mismatch 4.166667e-02 rna
#> 77 Between_Dataset_Silh_Global 9.752197e-04 rna
#> 78 Between_Dataset_Silh_Local 2.794887e-02 rna
#> 79 MAD 1.765900e-01 rna
#> 80 KS 1.533905e-01 rna
#> 81 MAE 1.983809e-01 rna
#> 82 RMSE 2.297243e-01 rna
#> 83 OV 8.870648e-01 rna
#> 84 Bhattacharyya 9.483485e-05 rna
#> 85 Wasserstein 1.983809e-01 rna
#> 86 ECDF_DiffArea 6.339169e-02 rna
#> 87 Runs_Statistic -3.666923e-01 rna
#> 88 Runs_PValue 3.569243e-01 rna
#> 89 NN_Mismatch 4.166667e-02 rna
#> 90 Between_Dataset_Silh_Global 1.718865e-03 rna
#> 91 Between_Dataset_Silh_Local 2.740202e-02 rna
#> 92 MAD 7.484040e+00 rna
#> 93 KS 2.906651e-01 rna
#> 94 MAE 7.432972e+00 rna
#> 95 RMSE 7.844679e+00 rna
#> 96 OV 7.903812e-01 rna
#> 97 Bhattacharyya 7.165290e-05 rna
#> 98 Wasserstein 7.432972e+00 rna
#> 99 ECDF_DiffArea 9.753781e-02 rna
#> 100 Runs_Statistic -1.100077e+00 rna
#> 101 Runs_PValue 1.356493e-01 rna
#> 102 NN_Mismatch 4.166667e-02 rna
#> 103 Between_Dataset_Silh_Global 5.142707e-02 rna
#> 104 Between_Dataset_Silh_Local 8.952233e-02 rna
#> 105 MAD 1.250000e-02 rna
#> 106 KS 1.333333e-01 rna
#> 107 MAE 1.687500e-02 rna
#> 108 RMSE 1.916214e-02 rna
#> 109 OV 8.959038e-01 rna
#> 110 Bhattacharyya 6.100311e-04 rna
#> 111 Wasserstein 1.687500e-02 rna
#> 112 ECDF_DiffArea 5.128205e-02 rna
#> 113 Runs_Statistic -4.400308e+00 rna
#> 114 Runs_PValue 5.404863e-06 rna
#> 115 NN_Mismatch 9.166667e-02 rna
#> 116 Between_Dataset_Silh_Global -1.887003e-03 rna
#> 117 Between_Dataset_Silh_Local 2.721388e-02 rna
#> 118 MAD 4.388661e-01 rna
#> 119 KS 1.741354e-01 rna
#> 120 MAE 4.456931e-01 rna
#> 121 RMSE 4.890173e-01 rna
#> 122 OV 8.359346e-01 rna
#> 123 Bhattacharyya 5.586790e-04 rna
#> 124 Wasserstein 4.456931e-01 rna
#> 125 ECDF_DiffArea 5.400460e-02 rna
#> 126 Runs_Statistic 1.466769e+00 rna
#> 127 Runs_PValue 9.287806e-01 rna
#> 128 NN_Mismatch 2.500000e-02 rna
#> 129 Between_Dataset_Silh_Global 1.024133e-02 rna
#> 130 Between_Dataset_Silh_Local -4.450931e-02 rna
#> 131 MAD 2.118671e-03 rna
#> 132 KS 2.672058e-02 rna
#> 133 MAE 3.299875e-03 rna
#> 134 RMSE 5.067781e-03 rna
#> 135 OV 9.669659e-01 rna
#> 136 Bhattacharyya 6.113770e-05 rna
#> 137 Wasserstein 3.299875e-03 rna
#> 138 ECDF_DiffArea 4.425170e-03 rna
#> 139 Runs_Statistic -2.050782e+00 rna
#> 140 Runs_PValue 2.014407e-02 rna
#> 141 NN_Mismatch 6.666667e-02 rna
#> 142 Between_Dataset_Silh_Global -3.510417e-04 rna
#> 143 Between_Dataset_Silh_Local -6.557557e-04 rna
#> 144 slope_error 2.560909e-01 rna
#> 145 midpoint_error 2.624144e-01 rna
#> 146 r2_discrepancy 1.646825e-01 rna
#> 147 excess_zero_weight_discrepancy 3.712431e-02 rna
#> 148 MMD 4.118898e-02 rna
#> 149 Frechet_SingleCell_Distance 2.128494e+00 rna
#> 150 Generative_Precision 7.250000e-01 rna
#> 151 Generative_Recall 8.500000e-01 rna
#> 152 MAD 2.000000e+00 atac
#> 153 KS 1.750000e-01 atac
#> 154 MAE 2.337500e+00 atac
#> 155 RMSE 2.487469e+00 atac
#> 156 OV 8.548144e-01 atac
#> 157 Bhattacharyya 1.055641e-04 atac
#> 158 Wasserstein 2.337500e+00 atac
#> 159 ECDF_DiffArea 8.634259e-02 atac
#> 160 Runs_Statistic -6.027311e+00 atac
#> 161 Runs_PValue 8.335488e-10 atac
#> 162 NN_Mismatch 1.937500e-01 atac
#> 163 Between_Dataset_Silh_Global 2.188673e-02 atac
#> 164 Between_Dataset_Silh_Local 1.184542e-02 atac
#> 165 MAD 8.223810e-02 atac
#> 166 KS 1.750000e-01 atac
#> 167 MAE 7.991730e-02 atac
#> 168 RMSE 8.389317e-02 atac
#> 169 OV 8.600104e-01 atac
#> 170 Bhattacharyya 1.155313e-05 atac
#> 171 Wasserstein 7.991730e-02 atac
#> 172 ECDF_DiffArea 7.889320e-02 atac
#> 173 Runs_Statistic -6.027311e+00 atac
#> 174 Runs_PValue 8.335488e-10 atac
#> 175 NN_Mismatch 1.937500e-01 atac
#> 176 Between_Dataset_Silh_Global 1.990590e-02 atac
#> 177 Between_Dataset_Silh_Local 1.321356e-02 atac
#> 178 MAD 3.333333e-02 atac
#> 179 KS 2.125000e-01 atac
#> 180 MAE 2.750000e-02 atac
#> 181 RMSE 3.016160e-02 atac
#> 182 OV 8.324202e-01 atac
#> 183 Bhattacharyya 6.907067e-05 atac
#> 184 Wasserstein 2.750000e-02 atac
#> 185 ECDF_DiffArea 7.228261e-02 atac
#> 186 Runs_Statistic -7.296219e+00 atac
#> 187 Runs_PValue 1.479836e-13 atac
#> 188 NN_Mismatch 2.812500e-01 atac
#> 189 Between_Dataset_Silh_Global 2.566981e-02 atac
#> 190 Between_Dataset_Silh_Local 9.339636e-02 atac
#> 191 MAD 5.255500e-03 atac
#> 192 KS 2.107220e-02 atac
#> 193 MAE 5.411615e-03 atac
#> 194 RMSE 6.510192e-03 atac
#> 195 OV 9.754870e-01 atac
#> 196 Bhattacharyya 8.144420e-05 atac
#> 197 Wasserstein 5.411615e-03 atac
#> 198 ECDF_DiffArea 5.453327e-03 atac
#> 199 Runs_Statistic -1.291102e+00 atac
#> 200 Runs_PValue 9.833414e-02 atac
#> 201 NN_Mismatch 9.666667e-02 atac
#> 202 Between_Dataset_Silh_Global 1.022845e-03 atac
#> 203 Between_Dataset_Silh_Local 4.117895e-03 atac
#> 204 MAD 3.899549e-01 atac
#> 205 KS 1.953641e-01 atac
#> 206 MAE 4.192301e-01 atac
#> 207 RMSE 4.674793e-01 atac
#> 208 OV 8.830703e-01 atac
#> 209 Bhattacharyya 3.820189e-04 atac
#> 210 Wasserstein 4.192301e-01 atac
#> 211 ECDF_DiffArea 5.446491e-02 atac
#> 212 Runs_Statistic 9.167309e-01 atac
#> 213 Runs_PValue 8.203582e-01 atac
#> 214 NN_Mismatch 8.333333e-03 atac
#> 215 Between_Dataset_Silh_Global 4.985352e-03 atac
#> 216 Between_Dataset_Silh_Local -6.819156e-03 atac
#> 217 MAD 1.190987e+00 atac
#> 218 KS 1.551413e-01 atac
#> 219 MAE 1.407107e+00 atac
#> 220 RMSE 1.790364e+00 atac
#> 221 OV 8.503337e-01 atac
#> 222 Bhattacharyya 1.270626e-04 atac
#> 223 Wasserstein 1.407107e+00 atac
#> 224 ECDF_DiffArea 4.556567e-02 atac
#> 225 Runs_Statistic 0.000000e+00 atac
#> 226 Runs_PValue 5.000000e-01 atac
#> 227 NN_Mismatch 3.333333e-02 atac
#> 228 Between_Dataset_Silh_Global 2.104421e-03 atac
#> 229 Between_Dataset_Silh_Local -6.857180e-02 atac
#> 230 MAD 8.057902e-02 atac
#> 231 KS 1.551409e-01 atac
#> 232 MAE 1.005223e-01 atac
#> 233 RMSE 1.331213e-01 atac
#> 234 OV 8.443327e-01 atac
#> 235 Bhattacharyya 3.471324e-05 atac
#> 236 Wasserstein 1.005223e-01 atac
#> 237 ECDF_DiffArea 4.353510e-02 atac
#> 238 Runs_Statistic 0.000000e+00 atac
#> 239 Runs_PValue 5.000000e-01 atac
#> 240 NN_Mismatch 3.333333e-02 atac
#> 241 Between_Dataset_Silh_Global 1.850839e-03 atac
#> 242 Between_Dataset_Silh_Local -6.764311e-02 atac
#> 243 MAD 8.752987e+00 atac
#> 244 KS 1.763639e-01 atac
#> 245 MAE 8.864353e+00 atac
#> 246 RMSE 1.046915e+01 atac
#> 247 OV 8.747237e-01 atac
#> 248 Bhattacharyya 2.185211e-04 atac
#> 249 Wasserstein 8.864353e+00 atac
#> 250 ECDF_DiffArea 5.520177e-02 atac
#> 251 Runs_Statistic -1.833462e+00 atac
#> 252 Runs_PValue 3.336697e-02 atac
#> 253 NN_Mismatch 3.333333e-02 atac
#> 254 Between_Dataset_Silh_Global 6.571696e-03 atac
#> 255 Between_Dataset_Silh_Local -4.032646e-03 atac
#> 256 MAD 2.500000e-02 atac
#> 257 KS 2.000000e-01 atac
#> 258 MAE 2.958333e-02 atac
#> 259 RMSE 3.307189e-02 atac
#> 260 OV 8.780065e-01 atac
#> 261 Bhattacharyya 1.230865e-04 atac
#> 262 Wasserstein 2.958333e-02 atac
#> 263 ECDF_DiffArea 5.875000e-02 atac
#> 264 Runs_Statistic -1.650116e+00 atac
#> 265 Runs_PValue 4.945965e-02 atac
#> 266 NN_Mismatch 5.000000e-02 atac
#> 267 Between_Dataset_Silh_Global 7.445303e-03 atac
#> 268 Between_Dataset_Silh_Local -7.637859e-03 atac
#> 269 MAD 2.119535e-02 atac
#> 270 KS 1.136364e-01 atac
#> 271 MAE 2.544810e-02 atac
#> 272 RMSE 2.978845e-02 atac
#> 273 OV 8.875089e-01 atac
#> 274 Bhattacharyya 1.193835e-04 atac
#> 275 Wasserstein 2.544810e-02 atac
#> 276 ECDF_DiffArea 4.276195e-02 atac
#> 277 Runs_Statistic -5.500385e-01 atac
#> 278 Runs_PValue 2.911465e-01 atac
#> 279 NN_Mismatch 8.333333e-03 atac
#> 280 Between_Dataset_Silh_Global -7.584339e-04 atac
#> 281 Between_Dataset_Silh_Local 2.779098e-04 atac
#> 282 MAD 1.838118e-03 atac
#> 283 KS 1.759557e-02 atac
#> 284 MAE 2.718776e-03 atac
#> 285 RMSE 5.260476e-03 atac
#> 286 OV 9.771475e-01 atac
#> 287 Bhattacharyya 8.878612e-05 atac
#> 288 Wasserstein 2.718776e-03 atac
#> 289 ECDF_DiffArea 3.011545e-03 atac
#> 290 Runs_Statistic -6.723876e-02 atac
#> 291 Runs_PValue 4.731958e-01 atac
#> 292 NN_Mismatch 5.000000e-02 atac
#> 293 Between_Dataset_Silh_Global -2.362893e-04 atac
#> 294 Between_Dataset_Silh_Local 7.834578e-03 atac
#> 295 slope_error 2.751402e-02 atac
#> 296 midpoint_error 8.887770e-03 atac
#> 297 r2_discrepancy 5.809628e-03 atac
#> 298 excess_zero_weight_discrepancy 8.480348e-04 atac
#> 299 MMD 0.000000e+00 atac
#> 300 Frechet_SingleCell_Distance 1.880820e+00 atac
#> 301 Generative_Precision 9.750000e-01 atac
#> 302 Generative_Recall 8.875000e-01 atac
#> 303 pseudotime_correlation 1.000000e+00 rna
#> 304 MAD 6.236202e-02 Joint (Cross-Modal)
#> 305 KS 3.096934e-01 Joint (Cross-Modal)
#> 306 MAE 6.352891e-02 Joint (Cross-Modal)
#> 307 RMSE 6.626403e-02 Joint (Cross-Modal)
#> 308 OV 7.564079e-01 Joint (Cross-Modal)
#> 309 Bhattacharyya 1.537345e-03 Joint (Cross-Modal)
#> 310 Wasserstein 6.352891e-02 Joint (Cross-Modal)
#> 311 FOSCTTM 5.086719e-01 Joint (Cross-Modal)
#> 312 match_at_1 1.250000e-02 Joint (Cross-Modal)
#> 313 cell_pearson_cor 9.899522e-02 atac
#> 314 feature_pearson_cor 5.131179e-02 atac
#> 315 mean_coupling_cor -1.963288e-03 Joint (Cross-Modal)
#> 316 rv_coefficient 6.014410e-01 atac
#> 317 module_correlation_r -1.457616e-02 rna
#> 318 global_PCC 8.205078e-01 atac
#>
#> $pairing
#> [1] "paired"
#>
#> $mod1_unimodal
#> $mod1_unimodal$metrics_summary_table
#> Category Property
#> 1 Distributional Properties library_size
#> 2 Distributional Properties library_size
#> 3 Distributional Properties library_size
#> 4 Distributional Properties library_size
#> 5 Distributional Properties library_size
#> 6 Distributional Properties library_size
#> 7 Distributional Properties library_size
#> 8 Distributional Properties library_size
#> 9 Distributional Properties library_size
#> 10 Distributional Properties library_size
#> 11 Distributional Properties library_size
#> 12 Distributional Properties library_size
#> 13 Distributional Properties library_size
#> 14 Distributional Properties log_library_size
#> 15 Distributional Properties log_library_size
#> 16 Distributional Properties log_library_size
#> 17 Distributional Properties log_library_size
#> 18 Distributional Properties log_library_size
#> 19 Distributional Properties log_library_size
#> 20 Distributional Properties log_library_size
#> 21 Distributional Properties log_library_size
#> 22 Distributional Properties log_library_size
#> 23 Distributional Properties log_library_size
#> 24 Distributional Properties log_library_size
#> 25 Distributional Properties log_library_size
#> 26 Distributional Properties log_library_size
#> 27 Distributional Properties zero_fraction_cell
#> 28 Distributional Properties zero_fraction_cell
#> 29 Distributional Properties zero_fraction_cell
#> 30 Distributional Properties zero_fraction_cell
#> 31 Distributional Properties zero_fraction_cell
#> 32 Distributional Properties zero_fraction_cell
#> 33 Distributional Properties zero_fraction_cell
#> 34 Distributional Properties zero_fraction_cell
#> 35 Distributional Properties zero_fraction_cell
#> 36 Distributional Properties zero_fraction_cell
#> 37 Distributional Properties zero_fraction_cell
#> 38 Distributional Properties zero_fraction_cell
#> 39 Distributional Properties zero_fraction_cell
#> 40 Distributional Properties cell_cor
#> 41 Distributional Properties cell_cor
#> 42 Distributional Properties cell_cor
#> 43 Distributional Properties cell_cor
#> 44 Distributional Properties cell_cor
#> 45 Distributional Properties cell_cor
#> 46 Distributional Properties cell_cor
#> 47 Distributional Properties cell_cor
#> 48 Distributional Properties cell_cor
#> 49 Distributional Properties cell_cor
#> 50 Distributional Properties cell_cor
#> 51 Distributional Properties cell_cor
#> 52 Distributional Properties cell_cor
#> 53 Distributional Properties mean_expression
#> 54 Distributional Properties mean_expression
#> 55 Distributional Properties mean_expression
#> 56 Distributional Properties mean_expression
#> 57 Distributional Properties mean_expression
#> 58 Distributional Properties mean_expression
#> 59 Distributional Properties mean_expression
#> 60 Distributional Properties mean_expression
#> 61 Distributional Properties mean_expression
#> 62 Distributional Properties mean_expression
#> 63 Distributional Properties mean_expression
#> 64 Distributional Properties mean_expression
#> 65 Distributional Properties mean_expression
#> 66 Distributional Properties variance
#> 67 Distributional Properties variance
#> 68 Distributional Properties variance
#> 69 Distributional Properties variance
#> 70 Distributional Properties variance
#> 71 Distributional Properties variance
#> 72 Distributional Properties variance
#> 73 Distributional Properties variance
#> 74 Distributional Properties variance
#> 75 Distributional Properties variance
#> 76 Distributional Properties variance
#> 77 Distributional Properties variance
#> 78 Distributional Properties variance
#> 79 Distributional Properties sd
#> 80 Distributional Properties sd
#> 81 Distributional Properties sd
#> 82 Distributional Properties sd
#> 83 Distributional Properties sd
#> 84 Distributional Properties sd
#> 85 Distributional Properties sd
#> 86 Distributional Properties sd
#> 87 Distributional Properties sd
#> 88 Distributional Properties sd
#> 89 Distributional Properties sd
#> 90 Distributional Properties sd
#> 91 Distributional Properties sd
#> 92 Distributional Properties cv
#> 93 Distributional Properties cv
#> 94 Distributional Properties cv
#> 95 Distributional Properties cv
#> 96 Distributional Properties cv
#> 97 Distributional Properties cv
#> 98 Distributional Properties cv
#> 99 Distributional Properties cv
#> 100 Distributional Properties cv
#> 101 Distributional Properties cv
#> 102 Distributional Properties cv
#> 103 Distributional Properties cv
#> 104 Distributional Properties cv
#> 105 Distributional Properties zero_fraction_feature
#> 106 Distributional Properties zero_fraction_feature
#> 107 Distributional Properties zero_fraction_feature
#> 108 Distributional Properties zero_fraction_feature
#> 109 Distributional Properties zero_fraction_feature
#> 110 Distributional Properties zero_fraction_feature
#> 111 Distributional Properties zero_fraction_feature
#> 112 Distributional Properties zero_fraction_feature
#> 113 Distributional Properties zero_fraction_feature
#> 114 Distributional Properties zero_fraction_feature
#> 115 Distributional Properties zero_fraction_feature
#> 116 Distributional Properties zero_fraction_feature
#> 117 Distributional Properties zero_fraction_feature
#> 118 Distributional Properties dispersion
#> 119 Distributional Properties dispersion
#> 120 Distributional Properties dispersion
#> 121 Distributional Properties dispersion
#> 122 Distributional Properties dispersion
#> 123 Distributional Properties dispersion
#> 124 Distributional Properties dispersion
#> 125 Distributional Properties dispersion
#> 126 Distributional Properties dispersion
#> 127 Distributional Properties dispersion
#> 128 Distributional Properties dispersion
#> 129 Distributional Properties dispersion
#> 130 Distributional Properties dispersion
#> 131 Distributional Properties gene_cor
#> 132 Distributional Properties gene_cor
#> 133 Distributional Properties gene_cor
#> 134 Distributional Properties gene_cor
#> 135 Distributional Properties gene_cor
#> 136 Distributional Properties gene_cor
#> 137 Distributional Properties gene_cor
#> 138 Distributional Properties gene_cor
#> 139 Distributional Properties gene_cor
#> 140 Distributional Properties gene_cor
#> 141 Distributional Properties gene_cor
#> 142 Distributional Properties gene_cor
#> 143 Distributional Properties gene_cor
#> 144 Distributional Properties dropout_curve
#> 145 Distributional Properties dropout_curve
#> 146 Distributional Properties dropout_curve
#> 147 Distributional Properties excess_zero_weights
#> 148 Cellular Structure & Mixing manifold
#> 149 Cellular Structure & Mixing manifold
#> 150 Cellular Structure & Mixing manifold
#> 151 Cellular Structure & Mixing manifold
#> Metric Value
#> 1 MAD 1.500000e+01
#> 2 KS 2.125000e-01
#> 3 MAE 1.506250e+01
#> 4 RMSE 1.571504e+01
#> 5 OV 8.370258e-01
#> 6 Bhattacharyya 1.188839e-04
#> 7 Wasserstein 1.506250e+01
#> 8 ECDF_DiffArea 7.664975e-02
#> 9 Runs_Statistic -1.744748e+00
#> 10 Runs_PValue 4.051437e-02
#> 11 NN_Mismatch 1.750000e-01
#> 12 Between_Dataset_Silh_Global 2.247078e-02
#> 13 Between_Dataset_Silh_Local 8.545733e-02
#> 14 MAD 6.363671e-02
#> 15 KS 2.125000e-01
#> 16 MAE 6.194965e-02
#> 17 RMSE 6.566950e-02
#> 18 OV 8.430797e-01
#> 19 Bhattacharyya 3.834591e-06
#> 20 Wasserstein 6.194965e-02
#> 21 ECDF_DiffArea 7.348677e-02
#> 22 Runs_Statistic -1.744748e+00
#> 23 Runs_PValue 4.051437e-02
#> 24 NN_Mismatch 1.875000e-01
#> 25 Between_Dataset_Silh_Global 2.176201e-02
#> 26 Between_Dataset_Silh_Local 8.478123e-02
#> 27 MAD 1.666667e-02
#> 28 KS 1.250000e-01
#> 29 MAE 1.562500e-02
#> 30 RMSE 1.980811e-02
#> 31 OV 8.802602e-01
#> 32 Bhattacharyya 8.854773e-04
#> 33 Wasserstein 1.562500e-02
#> 34 ECDF_DiffArea 5.742187e-02
#> 35 Runs_Statistic -9.358194e+00
#> 36 Runs_PValue 4.055568e-21
#> 37 NN_Mismatch 6.875000e-01
#> 38 Between_Dataset_Silh_Global 7.524680e-03
#> 39 Between_Dataset_Silh_Local -2.434506e-02
#> 40 MAD 4.267661e-03
#> 41 KS 2.245514e-02
#> 42 MAE 4.568140e-03
#> 43 RMSE 5.551208e-03
#> 44 OV 9.807474e-01
#> 45 Bhattacharyya 4.473713e-05
#> 46 Wasserstein 4.568140e-03
#> 47 ECDF_DiffArea 4.923327e-03
#> 48 Runs_Statistic -2.453094e+00
#> 49 Runs_PValue 7.081668e-03
#> 50 NN_Mismatch 5.666667e-02
#> 51 Between_Dataset_Silh_Global -2.167666e-05
#> 52 Between_Dataset_Silh_Local -2.201439e-03
#> 53 MAD 2.571903e-01
#> 54 KS 2.055826e-01
#> 55 MAE 2.473408e-01
#> 56 RMSE 2.887192e-01
#> 57 OV 9.012474e-01
#> 58 Bhattacharyya 3.690266e-05
#> 59 Wasserstein 2.473408e-01
#> 60 ECDF_DiffArea 4.242507e-02
#> 61 Runs_Statistic 3.666923e-01
#> 62 Runs_PValue 6.430757e-01
#> 63 NN_Mismatch 5.000000e-02
#> 64 Between_Dataset_Silh_Global -9.070018e-05
#> 65 Between_Dataset_Silh_Local -7.418733e-03
#> 66 MAD 1.969816e+00
#> 67 KS 1.533879e-01
#> 68 MAE 2.036911e+00
#> 69 RMSE 2.271370e+00
#> 70 OV 8.934605e-01
#> 71 Bhattacharyya 3.196235e-04
#> 72 Wasserstein 2.036911e+00
#> 73 ECDF_DiffArea 6.630962e-02
#> 74 Runs_Statistic -3.666923e-01
#> 75 Runs_PValue 3.569243e-01
#> 76 NN_Mismatch 4.166667e-02
#> 77 Between_Dataset_Silh_Global 9.752197e-04
#> 78 Between_Dataset_Silh_Local 2.794887e-02
#> 79 MAD 1.765900e-01
#> 80 KS 1.533905e-01
#> 81 MAE 1.983809e-01
#> 82 RMSE 2.297243e-01
#> 83 OV 8.870648e-01
#> 84 Bhattacharyya 9.483485e-05
#> 85 Wasserstein 1.983809e-01
#> 86 ECDF_DiffArea 6.339169e-02
#> 87 Runs_Statistic -3.666923e-01
#> 88 Runs_PValue 3.569243e-01
#> 89 NN_Mismatch 4.166667e-02
#> 90 Between_Dataset_Silh_Global 1.718865e-03
#> 91 Between_Dataset_Silh_Local 2.740202e-02
#> 92 MAD 7.484040e+00
#> 93 KS 2.906651e-01
#> 94 MAE 7.432972e+00
#> 95 RMSE 7.844679e+00
#> 96 OV 7.903812e-01
#> 97 Bhattacharyya 7.165290e-05
#> 98 Wasserstein 7.432972e+00
#> 99 ECDF_DiffArea 9.753781e-02
#> 100 Runs_Statistic -1.100077e+00
#> 101 Runs_PValue 1.356493e-01
#> 102 NN_Mismatch 4.166667e-02
#> 103 Between_Dataset_Silh_Global 5.142707e-02
#> 104 Between_Dataset_Silh_Local 8.952233e-02
#> 105 MAD 1.250000e-02
#> 106 KS 1.333333e-01
#> 107 MAE 1.687500e-02
#> 108 RMSE 1.916214e-02
#> 109 OV 8.959038e-01
#> 110 Bhattacharyya 6.100311e-04
#> 111 Wasserstein 1.687500e-02
#> 112 ECDF_DiffArea 5.128205e-02
#> 113 Runs_Statistic -4.400308e+00
#> 114 Runs_PValue 5.404863e-06
#> 115 NN_Mismatch 9.166667e-02
#> 116 Between_Dataset_Silh_Global -1.887003e-03
#> 117 Between_Dataset_Silh_Local 2.721388e-02
#> 118 MAD 4.388661e-01
#> 119 KS 1.741354e-01
#> 120 MAE 4.456931e-01
#> 121 RMSE 4.890173e-01
#> 122 OV 8.359346e-01
#> 123 Bhattacharyya 5.586790e-04
#> 124 Wasserstein 4.456931e-01
#> 125 ECDF_DiffArea 5.400460e-02
#> 126 Runs_Statistic 1.466769e+00
#> 127 Runs_PValue 9.287806e-01
#> 128 NN_Mismatch 2.500000e-02
#> 129 Between_Dataset_Silh_Global 1.024133e-02
#> 130 Between_Dataset_Silh_Local -4.450931e-02
#> 131 MAD 2.118671e-03
#> 132 KS 2.672058e-02
#> 133 MAE 3.299875e-03
#> 134 RMSE 5.067781e-03
#> 135 OV 9.669659e-01
#> 136 Bhattacharyya 6.113770e-05
#> 137 Wasserstein 3.299875e-03
#> 138 ECDF_DiffArea 4.425170e-03
#> 139 Runs_Statistic -2.050782e+00
#> 140 Runs_PValue 2.014407e-02
#> 141 NN_Mismatch 6.666667e-02
#> 142 Between_Dataset_Silh_Global -3.510417e-04
#> 143 Between_Dataset_Silh_Local -6.557557e-04
#> 144 slope_error 2.560909e-01
#> 145 midpoint_error 2.624144e-01
#> 146 r2_discrepancy 1.646825e-01
#> 147 excess_zero_weight_discrepancy 3.712431e-02
#> 148 MMD 4.118898e-02
#> 149 Frechet_SingleCell_Distance 2.128494e+00
#> 150 Generative_Precision 7.250000e-01
#> 151 Generative_Recall 8.500000e-01
#>
#> $mod1_unimodal$cell_metrics
#> $mod1_unimodal$cell_metrics$library_size
#> $mod1_unimodal$cell_metrics$library_size$library_size_MAD
#> [1] 15
#>
#> $mod1_unimodal$cell_metrics$library_size$library_size_KS
#> [1] 0.2125
#>
#> $mod1_unimodal$cell_metrics$library_size$library_size_MAE
#> [1] 15.0625
#>
#> $mod1_unimodal$cell_metrics$library_size$library_size_RMSE
#> [1] 15.71504
#>
#> $mod1_unimodal$cell_metrics$library_size$library_size_OV
#> [1] 0.8370258
#>
#> $mod1_unimodal$cell_metrics$library_size$library_size_Bhattacharyya
#> [1] 0.0001188839
#>
#> $mod1_unimodal$cell_metrics$library_size$library_size_Wasserstein
#> [1] 15.0625
#>
#> $mod1_unimodal$cell_metrics$library_size$library_size_ECDF_DiffArea
#> [1] 0.07664975
#>
#> $mod1_unimodal$cell_metrics$library_size$library_size_Runs_Statistic
#> [1] -1.744748
#>
#> $mod1_unimodal$cell_metrics$library_size$library_size_Runs_PValue
#> [1] 0.04051437
#>
#> $mod1_unimodal$cell_metrics$library_size$library_size_NN_Mismatch
#> [1] 0.175
#>
#> $mod1_unimodal$cell_metrics$library_size$library_size_Between_Dataset_Silh_Global
#> [1] 0.02247078
#>
#> $mod1_unimodal$cell_metrics$library_size$library_size_Between_Dataset_Silh_Local
#> [1] 0.08545733
#>
#>
#> $mod1_unimodal$cell_metrics$log_library_size
#> $mod1_unimodal$cell_metrics$log_library_size$log_library_size_MAD
#> [1] 0.06363671
#>
#> $mod1_unimodal$cell_metrics$log_library_size$log_library_size_KS
#> [1] 0.2125
#>
#> $mod1_unimodal$cell_metrics$log_library_size$log_library_size_MAE
#> [1] 0.06194965
#>
#> $mod1_unimodal$cell_metrics$log_library_size$log_library_size_RMSE
#> [1] 0.0656695
#>
#> $mod1_unimodal$cell_metrics$log_library_size$log_library_size_OV
#> [1] 0.8430797
#>
#> $mod1_unimodal$cell_metrics$log_library_size$log_library_size_Bhattacharyya
#> [1] 3.834591e-06
#>
#> $mod1_unimodal$cell_metrics$log_library_size$log_library_size_Wasserstein
#> [1] 0.06194965
#>
#> $mod1_unimodal$cell_metrics$log_library_size$log_library_size_ECDF_DiffArea
#> [1] 0.07348677
#>
#> $mod1_unimodal$cell_metrics$log_library_size$log_library_size_Runs_Statistic
#> [1] -1.744748
#>
#> $mod1_unimodal$cell_metrics$log_library_size$log_library_size_Runs_PValue
#> [1] 0.04051437
#>
#> $mod1_unimodal$cell_metrics$log_library_size$log_library_size_NN_Mismatch
#> [1] 0.1875
#>
#> $mod1_unimodal$cell_metrics$log_library_size$log_library_size_Between_Dataset_Silh_Global
#> [1] 0.02176201
#>
#> $mod1_unimodal$cell_metrics$log_library_size$log_library_size_Between_Dataset_Silh_Local
#> [1] 0.08478123
#>
#>
#> $mod1_unimodal$cell_metrics$zero_fraction_cell
#> $mod1_unimodal$cell_metrics$zero_fraction_cell$zero_fraction_cell_MAD
#> [1] 0.01666667
#>
#> $mod1_unimodal$cell_metrics$zero_fraction_cell$zero_fraction_cell_KS
#> [1] 0.125
#>
#> $mod1_unimodal$cell_metrics$zero_fraction_cell$zero_fraction_cell_MAE
#> [1] 0.015625
#>
#> $mod1_unimodal$cell_metrics$zero_fraction_cell$zero_fraction_cell_RMSE
#> [1] 0.01980811
#>
#> $mod1_unimodal$cell_metrics$zero_fraction_cell$zero_fraction_cell_OV
#> [1] 0.8802602
#>
#> $mod1_unimodal$cell_metrics$zero_fraction_cell$zero_fraction_cell_Bhattacharyya
#> [1] 0.0008854773
#>
#> $mod1_unimodal$cell_metrics$zero_fraction_cell$zero_fraction_cell_Wasserstein
#> [1] 0.015625
#>
#> $mod1_unimodal$cell_metrics$zero_fraction_cell$zero_fraction_cell_ECDF_DiffArea
#> [1] 0.05742187
#>
#> $mod1_unimodal$cell_metrics$zero_fraction_cell$zero_fraction_cell_Runs_Statistic
#> [1] -9.358194
#>
#> $mod1_unimodal$cell_metrics$zero_fraction_cell$zero_fraction_cell_Runs_PValue
#> [1] 4.055568e-21
#>
#> $mod1_unimodal$cell_metrics$zero_fraction_cell$zero_fraction_cell_NN_Mismatch
#> [1] 0.6875
#>
#> $mod1_unimodal$cell_metrics$zero_fraction_cell$zero_fraction_cell_Between_Dataset_Silh_Global
#> [1] 0.00752468
#>
#> $mod1_unimodal$cell_metrics$zero_fraction_cell$zero_fraction_cell_Between_Dataset_Silh_Local
#> [1] -0.02434506
#>
#>
#> $mod1_unimodal$cell_metrics$cell_cor
#> $mod1_unimodal$cell_metrics$cell_cor$cell_cor_MAD
#> [1] 0.004267661
#>
#> $mod1_unimodal$cell_metrics$cell_cor$cell_cor_KS
#> [1] 0.02245514
#>
#> $mod1_unimodal$cell_metrics$cell_cor$cell_cor_MAE
#> [1] 0.00456814
#>
#> $mod1_unimodal$cell_metrics$cell_cor$cell_cor_RMSE
#> [1] 0.005551208
#>
#> $mod1_unimodal$cell_metrics$cell_cor$cell_cor_OV
#> [1] 0.9807474
#>
#> $mod1_unimodal$cell_metrics$cell_cor$cell_cor_Bhattacharyya
#> [1] 4.473713e-05
#>
#> $mod1_unimodal$cell_metrics$cell_cor$cell_cor_Wasserstein
#> [1] 0.00456814
#>
#> $mod1_unimodal$cell_metrics$cell_cor$cell_cor_ECDF_DiffArea
#> [1] 0.004923327
#>
#> $mod1_unimodal$cell_metrics$cell_cor$cell_cor_Runs_Statistic
#> [1] -2.453094
#>
#> $mod1_unimodal$cell_metrics$cell_cor$cell_cor_Runs_PValue
#> [1] 0.007081668
#>
#> $mod1_unimodal$cell_metrics$cell_cor$cell_cor_NN_Mismatch
#> [1] 0.05666667
#>
#> $mod1_unimodal$cell_metrics$cell_cor$cell_cor_Between_Dataset_Silh_Global
#> [1] -2.167666e-05
#>
#> $mod1_unimodal$cell_metrics$cell_cor$cell_cor_Between_Dataset_Silh_Local
#> [1] -0.002201439
#>
#>
#>
#> $mod1_unimodal$feature_metrics
#> $mod1_unimodal$feature_metrics$mean_expression
#> $mod1_unimodal$feature_metrics$mean_expression$mean_expression_MAD
#> [1] 0.2571903
#>
#> $mod1_unimodal$feature_metrics$mean_expression$mean_expression_KS
#> [1] 0.2055826
#>
#> $mod1_unimodal$feature_metrics$mean_expression$mean_expression_MAE
#> [1] 0.2473408
#>
#> $mod1_unimodal$feature_metrics$mean_expression$mean_expression_RMSE
#> [1] 0.2887192
#>
#> $mod1_unimodal$feature_metrics$mean_expression$mean_expression_OV
#> [1] 0.9012474
#>
#> $mod1_unimodal$feature_metrics$mean_expression$mean_expression_Bhattacharyya
#> [1] 3.690266e-05
#>
#> $mod1_unimodal$feature_metrics$mean_expression$mean_expression_Wasserstein
#> [1] 0.2473408
#>
#> $mod1_unimodal$feature_metrics$mean_expression$mean_expression_ECDF_DiffArea
#> [1] 0.04242507
#>
#> $mod1_unimodal$feature_metrics$mean_expression$mean_expression_Runs_Statistic
#> [1] 0.3666923
#>
#> $mod1_unimodal$feature_metrics$mean_expression$mean_expression_Runs_PValue
#> [1] 0.6430757
#>
#> $mod1_unimodal$feature_metrics$mean_expression$mean_expression_NN_Mismatch
#> [1] 0.05
#>
#> $mod1_unimodal$feature_metrics$mean_expression$mean_expression_Between_Dataset_Silh_Global
#> [1] -9.070018e-05
#>
#> $mod1_unimodal$feature_metrics$mean_expression$mean_expression_Between_Dataset_Silh_Local
#> [1] -0.007418733
#>
#>
#> $mod1_unimodal$feature_metrics$variance
#> $mod1_unimodal$feature_metrics$variance$variance_MAD
#> [1] 1.969816
#>
#> $mod1_unimodal$feature_metrics$variance$variance_KS
#> [1] 0.1533879
#>
#> $mod1_unimodal$feature_metrics$variance$variance_MAE
#> [1] 2.036911
#>
#> $mod1_unimodal$feature_metrics$variance$variance_RMSE
#> [1] 2.27137
#>
#> $mod1_unimodal$feature_metrics$variance$variance_OV
#> [1] 0.8934605
#>
#> $mod1_unimodal$feature_metrics$variance$variance_Bhattacharyya
#> [1] 0.0003196235
#>
#> $mod1_unimodal$feature_metrics$variance$variance_Wasserstein
#> [1] 2.036911
#>
#> $mod1_unimodal$feature_metrics$variance$variance_ECDF_DiffArea
#> [1] 0.06630962
#>
#> $mod1_unimodal$feature_metrics$variance$variance_Runs_Statistic
#> [1] -0.3666923
#>
#> $mod1_unimodal$feature_metrics$variance$variance_Runs_PValue
#> [1] 0.3569243
#>
#> $mod1_unimodal$feature_metrics$variance$variance_NN_Mismatch
#> [1] 0.04166667
#>
#> $mod1_unimodal$feature_metrics$variance$variance_Between_Dataset_Silh_Global
#> [1] 0.0009752197
#>
#> $mod1_unimodal$feature_metrics$variance$variance_Between_Dataset_Silh_Local
#> [1] 0.02794887
#>
#>
#> $mod1_unimodal$feature_metrics$sd
#> $mod1_unimodal$feature_metrics$sd$sd_MAD
#> [1] 0.17659
#>
#> $mod1_unimodal$feature_metrics$sd$sd_KS
#> [1] 0.1533905
#>
#> $mod1_unimodal$feature_metrics$sd$sd_MAE
#> [1] 0.1983809
#>
#> $mod1_unimodal$feature_metrics$sd$sd_RMSE
#> [1] 0.2297243
#>
#> $mod1_unimodal$feature_metrics$sd$sd_OV
#> [1] 0.8870648
#>
#> $mod1_unimodal$feature_metrics$sd$sd_Bhattacharyya
#> [1] 9.483485e-05
#>
#> $mod1_unimodal$feature_metrics$sd$sd_Wasserstein
#> [1] 0.1983809
#>
#> $mod1_unimodal$feature_metrics$sd$sd_ECDF_DiffArea
#> [1] 0.06339169
#>
#> $mod1_unimodal$feature_metrics$sd$sd_Runs_Statistic
#> [1] -0.3666923
#>
#> $mod1_unimodal$feature_metrics$sd$sd_Runs_PValue
#> [1] 0.3569243
#>
#> $mod1_unimodal$feature_metrics$sd$sd_NN_Mismatch
#> [1] 0.04166667
#>
#> $mod1_unimodal$feature_metrics$sd$sd_Between_Dataset_Silh_Global
#> [1] 0.001718865
#>
#> $mod1_unimodal$feature_metrics$sd$sd_Between_Dataset_Silh_Local
#> [1] 0.02740202
#>
#>
#> $mod1_unimodal$feature_metrics$cv
#> $mod1_unimodal$feature_metrics$cv$cv_MAD
#> [1] 7.48404
#>
#> $mod1_unimodal$feature_metrics$cv$cv_KS
#> [1] 0.2906651
#>
#> $mod1_unimodal$feature_metrics$cv$cv_MAE
#> [1] 7.432972
#>
#> $mod1_unimodal$feature_metrics$cv$cv_RMSE
#> [1] 7.844679
#>
#> $mod1_unimodal$feature_metrics$cv$cv_OV
#> [1] 0.7903812
#>
#> $mod1_unimodal$feature_metrics$cv$cv_Bhattacharyya
#> [1] 7.16529e-05
#>
#> $mod1_unimodal$feature_metrics$cv$cv_Wasserstein
#> [1] 7.432972
#>
#> $mod1_unimodal$feature_metrics$cv$cv_ECDF_DiffArea
#> [1] 0.09753781
#>
#> $mod1_unimodal$feature_metrics$cv$cv_Runs_Statistic
#> [1] -1.100077
#>
#> $mod1_unimodal$feature_metrics$cv$cv_Runs_PValue
#> [1] 0.1356493
#>
#> $mod1_unimodal$feature_metrics$cv$cv_NN_Mismatch
#> [1] 0.04166667
#>
#> $mod1_unimodal$feature_metrics$cv$cv_Between_Dataset_Silh_Global
#> [1] 0.05142707
#>
#> $mod1_unimodal$feature_metrics$cv$cv_Between_Dataset_Silh_Local
#> [1] 0.08952233
#>
#>
#> $mod1_unimodal$feature_metrics$zero_fraction_feature
#> $mod1_unimodal$feature_metrics$zero_fraction_feature$zero_fraction_feature_MAD
#> [1] 0.0125
#>
#> $mod1_unimodal$feature_metrics$zero_fraction_feature$zero_fraction_feature_KS
#> [1] 0.1333333
#>
#> $mod1_unimodal$feature_metrics$zero_fraction_feature$zero_fraction_feature_MAE
#> [1] 0.016875
#>
#> $mod1_unimodal$feature_metrics$zero_fraction_feature$zero_fraction_feature_RMSE
#> [1] 0.01916214
#>
#> $mod1_unimodal$feature_metrics$zero_fraction_feature$zero_fraction_feature_OV
#> [1] 0.8959038
#>
#> $mod1_unimodal$feature_metrics$zero_fraction_feature$zero_fraction_feature_Bhattacharyya
#> [1] 0.0006100311
#>
#> $mod1_unimodal$feature_metrics$zero_fraction_feature$zero_fraction_feature_Wasserstein
#> [1] 0.016875
#>
#> $mod1_unimodal$feature_metrics$zero_fraction_feature$zero_fraction_feature_ECDF_DiffArea
#> [1] 0.05128205
#>
#> $mod1_unimodal$feature_metrics$zero_fraction_feature$zero_fraction_feature_Runs_Statistic
#> [1] -4.400308
#>
#> $mod1_unimodal$feature_metrics$zero_fraction_feature$zero_fraction_feature_Runs_PValue
#> [1] 5.404863e-06
#>
#> $mod1_unimodal$feature_metrics$zero_fraction_feature$zero_fraction_feature_NN_Mismatch
#> [1] 0.09166667
#>
#> $mod1_unimodal$feature_metrics$zero_fraction_feature$zero_fraction_feature_Between_Dataset_Silh_Global
#> [1] -0.001887003
#>
#> $mod1_unimodal$feature_metrics$zero_fraction_feature$zero_fraction_feature_Between_Dataset_Silh_Local
#> [1] 0.02721388
#>
#>
#> $mod1_unimodal$feature_metrics$dispersion
#> $mod1_unimodal$feature_metrics$dispersion$dispersion_MAD
#> [1] 0.4388661
#>
#> $mod1_unimodal$feature_metrics$dispersion$dispersion_KS
#> [1] 0.1741354
#>
#> $mod1_unimodal$feature_metrics$dispersion$dispersion_MAE
#> [1] 0.4456931
#>
#> $mod1_unimodal$feature_metrics$dispersion$dispersion_RMSE
#> [1] 0.4890173
#>
#> $mod1_unimodal$feature_metrics$dispersion$dispersion_OV
#> [1] 0.8359346
#>
#> $mod1_unimodal$feature_metrics$dispersion$dispersion_Bhattacharyya
#> [1] 0.000558679
#>
#> $mod1_unimodal$feature_metrics$dispersion$dispersion_Wasserstein
#> [1] 0.4456931
#>
#> $mod1_unimodal$feature_metrics$dispersion$dispersion_ECDF_DiffArea
#> [1] 0.0540046
#>
#> $mod1_unimodal$feature_metrics$dispersion$dispersion_Runs_Statistic
#> [1] 1.466769
#>
#> $mod1_unimodal$feature_metrics$dispersion$dispersion_Runs_PValue
#> [1] 0.9287806
#>
#> $mod1_unimodal$feature_metrics$dispersion$dispersion_NN_Mismatch
#> [1] 0.025
#>
#> $mod1_unimodal$feature_metrics$dispersion$dispersion_Between_Dataset_Silh_Global
#> [1] 0.01024133
#>
#> $mod1_unimodal$feature_metrics$dispersion$dispersion_Between_Dataset_Silh_Local
#> [1] -0.04450931
#>
#>
#> $mod1_unimodal$feature_metrics$gene_cor
#> $mod1_unimodal$feature_metrics$gene_cor$gene_cor_MAD
#> [1] 0.002118671
#>
#> $mod1_unimodal$feature_metrics$gene_cor$gene_cor_KS
#> [1] 0.02672058
#>
#> $mod1_unimodal$feature_metrics$gene_cor$gene_cor_MAE
#> [1] 0.003299875
#>
#> $mod1_unimodal$feature_metrics$gene_cor$gene_cor_RMSE
#> [1] 0.005067781
#>
#> $mod1_unimodal$feature_metrics$gene_cor$gene_cor_OV
#> [1] 0.9669659
#>
#> $mod1_unimodal$feature_metrics$gene_cor$gene_cor_Bhattacharyya
#> [1] 6.11377e-05
#>
#> $mod1_unimodal$feature_metrics$gene_cor$gene_cor_Wasserstein
#> [1] 0.003299875
#>
#> $mod1_unimodal$feature_metrics$gene_cor$gene_cor_ECDF_DiffArea
#> [1] 0.00442517
#>
#> $mod1_unimodal$feature_metrics$gene_cor$gene_cor_Runs_Statistic
#> [1] -2.050782
#>
#> $mod1_unimodal$feature_metrics$gene_cor$gene_cor_Runs_PValue
#> [1] 0.02014407
#>
#> $mod1_unimodal$feature_metrics$gene_cor$gene_cor_NN_Mismatch
#> [1] 0.06666667
#>
#> $mod1_unimodal$feature_metrics$gene_cor$gene_cor_Between_Dataset_Silh_Global
#> [1] -0.0003510417
#>
#> $mod1_unimodal$feature_metrics$gene_cor$gene_cor_Between_Dataset_Silh_Local
#> [1] -0.0006557557
#>
#>
#>
#> $mod1_unimodal$bivariate_metrics
#> list()
#>
#> $mod1_unimodal$zero_probability_curve
#> slope_error midpoint_error r2_discrepancy
#> 0.2560909 0.2624144 0.1646825
#>
#> $mod1_unimodal$excess_zero_weights
#> $mod1_unimodal$excess_zero_weights$ref
#> $mod1_unimodal$excess_zero_weights$ref$mean_excess_zero_weight
#> [1] 0.125175
#>
#> $mod1_unimodal$excess_zero_weights$ref$median_excess_zero_weight
#> [1] 0.05941929
#>
#> $mod1_unimodal$excess_zero_weights$ref$mean_zero_inflation
#> [1] 0.02386441
#>
#> $mod1_unimodal$excess_zero_weights$ref$gene_excess_weights
#> [1] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.09777775
#> [7] 0.40423218 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [13] 0.00000000 0.44714706 0.08562163 0.18806978 0.27267149 0.06694220
#> [19] 0.00000000 0.00000000 0.01533320 0.00000000 0.52388338 0.00000000
#> [25] 0.00000000 0.00000000 0.00000000 0.00000000 0.49862464 0.28463070
#> [31] 0.00000000 0.02307153 0.31073986 0.00000000 0.06367513 0.15088815
#> [37] 0.24689382 0.00000000 0.09061268 0.31942074 0.21672462 0.18998773
#> [43] 0.07329427 0.00000000 0.22786326 0.00000000 0.34310829 0.06448393
#> [49] 0.05516346 0.00000000 0.30971601 0.19499308 0.28160864 0.37442912
#> [55] 0.00000000 0.27711280 0.26124999 0.45666487 0.09386449 0.00000000
#>
#>
#> $mod1_unimodal$excess_zero_weights$sim
#> $mod1_unimodal$excess_zero_weights$sim$mean_excess_zero_weight
#> [1] 0.08805069
#>
#> $mod1_unimodal$excess_zero_weights$sim$median_excess_zero_weight
#> [1] 0
#>
#> $mod1_unimodal$excess_zero_weights$sim$mean_zero_inflation
#> [1] 0.0174943
#>
#> $mod1_unimodal$excess_zero_weights$sim$gene_excess_weights
#> [1] 0.00000000 0.17239956 0.35154270 0.00000000 0.05919581 0.00000000
#> [7] 0.38441563 0.00000000 0.25623390 0.01706470 0.00000000 0.00000000
#> [13] 0.00000000 0.20065580 0.00000000 0.00000000 0.20684773 0.00000000
#> [19] 0.00000000 0.13521241 0.00000000 0.21730222 0.30087690 0.13531351
#> [25] 0.37070733 0.00000000 0.00000000 0.00000000 0.00000000 0.28294619
#> [31] 0.00000000 0.00000000 0.00000000 0.00000000 0.39060049 0.00000000
#> [37] 0.00000000 0.26814034 0.00000000 0.05538841 0.00000000 0.45866800
#> [43] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.07892515
#> [49] 0.00000000 0.19200186 0.00000000 0.00000000 0.00000000 0.00000000
#> [55] 0.00000000 0.28262082 0.00000000 0.22806525 0.00000000 0.23791688
#>
#>
#>
#> $mod1_unimodal$generative_manifold
#> $mod1_unimodal$generative_manifold$mmd
#> $mod1_unimodal$generative_manifold$mmd$mmd
#> [1] 0.04118898
#>
#> $mod1_unimodal$generative_manifold$mmd$mmd_squared
#> [1] 0.001696532
#>
#> $mod1_unimodal$generative_manifold$mmd$bandwidth_sigma
#> [1] 34.05143
#>
#>
#> $mod1_unimodal$generative_manifold$frechet_distance
#> $mod1_unimodal$generative_manifold$frechet_distance$fsd
#> [1] 2.128494
#>
#> $mod1_unimodal$generative_manifold$frechet_distance$fsd_squared
#> [1] 4.530487
#>
#> $mod1_unimodal$generative_manifold$frechet_distance$mean_discrepancy
#> [1] 0.9775612
#>
#> $mod1_unimodal$generative_manifold$frechet_distance$cov_discrepancy
#> [1] 3.552926
#>
#>
#> $mod1_unimodal$generative_manifold$precision_recall
#> $mod1_unimodal$generative_manifold$precision_recall$generative_precision
#> [1] 0.725
#>
#> $mod1_unimodal$generative_manifold$precision_recall$generative_recall
#> [1] 0.85
#>
#> $mod1_unimodal$generative_manifold$precision_recall$generative_f1
#> [1] 0.7825397
#>
#>
#>
#> $mod1_unimodal$ref_properties
#> $mod1_unimodal$ref_properties$cell
#> $mod1_unimodal$ref_properties$cell$library_size
#> [1] 225 208 262 227 255 256 287 258 258 209 220 245 273 238 285 224 301 229 213
#> [20] 243 261 230 184 219 343 267 270 172 264 194 183 209 271 222 237 196 265 247
#> [39] 302 227 307 221 301 272 273 303 268 320 315 276 269 283 301 227 303 204 310
#> [58] 229 250 300 220 278 227 317 256 279 321 251 301 256 221 307 226 251 294 253
#> [77] 273 272 209 282
#>
#> $mod1_unimodal$ref_properties$cell$log_library_size
#> [1] 5.420535 5.342334 5.572154 5.429346 5.545177 5.549076 5.662960 5.556828
#> [9] 5.556828 5.347108 5.398163 5.505332 5.613128 5.476464 5.655992 5.416100
#> [17] 5.710427 5.438079 5.365976 5.497168 5.568345 5.442418 5.220356 5.393628
#> [25] 5.840642 5.590987 5.602119 5.153292 5.579730 5.273000 5.214936 5.347108
#> [33] 5.605802 5.407172 5.472271 5.283204 5.583496 5.513429 5.713733 5.429346
#> [41] 5.730100 5.402677 5.710427 5.609472 5.613128 5.717028 5.594711 5.771441
#> [49] 5.755742 5.624018 5.598422 5.648974 5.710427 5.429346 5.717028 5.323010
#> [57] 5.739793 5.438079 5.525453 5.707110 5.398163 5.631212 5.429346 5.762051
#> [65] 5.549076 5.634790 5.774552 5.529429 5.710427 5.549076 5.402677 5.730100
#> [73] 5.424950 5.529429 5.686975 5.537334 5.613128 5.609472 5.347108 5.645447
#>
#> $mod1_unimodal$ref_properties$cell$tmm_factor
#> [1] 1.2677665 1.0608912 0.9049099 0.8659920 0.8541085 1.1025580 0.8813490
#> [8] 1.0676245 1.0128242 0.9703222 0.9763756 1.1185974 0.8624278 1.5618503
#> [15] 0.9140547 1.0148082 0.9259660 1.0562338 0.8866491 0.8154473 0.8652361
#> [22] 0.7406297 0.9973933 1.0481011 0.9407201 1.1001742 0.9158304 1.2243780
#> [29] 0.8246904 1.1039272 1.0855407 1.0795148 1.1816197 1.1433863 1.3097731
#> [36] 1.2233884 0.7238186 1.0035751 0.9711287 1.0911025 0.8331748 0.9351113
#> [43] 1.0097258 0.9119055 1.0008139 1.1945043 1.0330545 0.8741315 0.9652980
#> [50] 0.8000045 1.3516526 1.2151585 0.9005631 0.9530173 1.1226875 0.9858696
#> [57] 0.7789178 0.8780626 0.8889611 1.0143402 1.0904013 0.9795808 0.7353033
#> [64] 1.1582880 1.0355863 1.0079076 0.9840788 1.1396867 0.7843954 1.0134781
#> [71] 1.2229822 0.8139370 0.8860124 0.9547651 0.9345196 1.2740610 1.2514075
#> [78] 1.0676455 1.3134852 0.9530813
#>
#> $mod1_unimodal$ref_properties$cell$effective_library_size
#> [1] 285.2475 220.6654 237.0864 196.5802 217.7977 282.2549 252.9472 275.4471
#> [9] 261.3086 202.7973 214.8026 274.0564 235.4428 371.7204 260.5056 227.3170
#> [17] 278.7158 241.8775 188.8563 198.1537 225.8266 170.3448 183.5204 229.5341
#> [25] 322.6670 293.7465 247.2742 210.5930 217.7183 214.1619 198.6540 225.6186
#> [33] 320.2189 253.8318 310.4162 239.7841 191.8119 247.8831 293.2809 247.6803
#> [41] 255.7847 206.6596 303.9275 248.0383 273.2222 361.9348 276.8586 279.7221
#> [49] 304.0689 220.8012 363.5946 343.8898 271.0695 216.3349 340.1743 201.1174
#> [57] 241.4645 201.0763 222.2403 304.3021 239.8883 272.3235 166.9138 367.1773
#> [65] 265.1101 281.2062 315.8893 286.0614 236.1030 259.4504 270.2791 249.8787
#> [73] 200.2388 239.6460 274.7488 322.3374 341.6343 290.3996 274.5184 268.7689
#>
#> $mod1_unimodal$ref_properties$cell$zero_fraction_cell
#> [1] 0.21666667 0.18333333 0.20000000 0.21666667 0.15000000 0.23333333
#> [7] 0.08333333 0.13333333 0.15000000 0.16666667 0.10000000 0.23333333
#> [13] 0.18333333 0.25000000 0.16666667 0.20000000 0.18333333 0.18333333
#> [19] 0.21666667 0.11666667 0.13333333 0.25000000 0.20000000 0.26666667
#> [25] 0.13333333 0.21666667 0.10000000 0.28333333 0.06666667 0.25000000
#> [31] 0.21666667 0.21666667 0.15000000 0.23333333 0.21666667 0.18333333
#> [37] 0.10000000 0.20000000 0.11666667 0.18333333 0.18333333 0.21666667
#> [43] 0.15000000 0.16666667 0.21666667 0.18333333 0.21666667 0.10000000
#> [49] 0.16666667 0.16666667 0.23333333 0.16666667 0.20000000 0.20000000
#> [55] 0.23333333 0.21666667 0.16666667 0.18333333 0.18333333 0.18333333
#> [61] 0.13333333 0.13333333 0.20000000 0.18333333 0.13333333 0.10000000
#> [67] 0.18333333 0.16666667 0.15000000 0.16666667 0.28333333 0.10000000
#> [73] 0.18333333 0.13333333 0.10000000 0.23333333 0.15000000 0.23333333
#> [79] 0.23333333 0.11666667
#>
#> $mod1_unimodal$ref_properties$cell$detection_freq_cell
#> [1] 0.7833333 0.8166667 0.8000000 0.7833333 0.8500000 0.7666667 0.9166667
#> [8] 0.8666667 0.8500000 0.8333333 0.9000000 0.7666667 0.8166667 0.7500000
#> [15] 0.8333333 0.8000000 0.8166667 0.8166667 0.7833333 0.8833333 0.8666667
#> [22] 0.7500000 0.8000000 0.7333333 0.8666667 0.7833333 0.9000000 0.7166667
#> [29] 0.9333333 0.7500000 0.7833333 0.7833333 0.8500000 0.7666667 0.7833333
#> [36] 0.8166667 0.9000000 0.8000000 0.8833333 0.8166667 0.8166667 0.7833333
#> [43] 0.8500000 0.8333333 0.7833333 0.8166667 0.7833333 0.9000000 0.8333333
#> [50] 0.8333333 0.7666667 0.8333333 0.8000000 0.8000000 0.7666667 0.7833333
#> [57] 0.8333333 0.8166667 0.8166667 0.8166667 0.8666667 0.8666667 0.8000000
#> [64] 0.8166667 0.8666667 0.9000000 0.8166667 0.8333333 0.8500000 0.8333333
#> [71] 0.7166667 0.9000000 0.8166667 0.8666667 0.9000000 0.7666667 0.8500000
#> [78] 0.7666667 0.7666667 0.8833333
#>
#> $mod1_unimodal$ref_properties$cell$cell_cor
#> [1] -0.0370302447 0.2154919205 0.0030832110 0.1234317559 0.1048672306
#> [6] 0.1596921410 -0.1281623967 0.0642524208 0.0356629562 -0.1477820293
#> [11] -0.0933382455 0.2173552646 0.1139414435 0.1886852279 0.1063877047
#> [16] -0.0924150166 0.0019122672 0.0226358914 0.1282094443 0.0086084125
#> [21] 0.1786275089 0.1421893740 0.0378730079 0.0472881570 0.3416191274
#> [26] -0.0551530725 -0.0933281991 -0.2392610396 0.0507451996 -0.0369129581
#> [31] -0.0633330482 0.0401035619 -0.0011681429 0.2054474700 0.0667712188
#> [36] 0.1244669181 0.0166834265 0.0044672003 -0.0998619063 -0.1951267540
#> [41] 0.1271586244 0.1351757256 0.2419450083 -0.1532736630 0.1908821758
#> [46] 0.0000000000 0.0513536521 0.2951821814 0.2189161641 0.0206349748
#> [51] 0.1822016112 0.1444826589 0.1550796671 0.2181696080 0.2018369954
#> [56] 0.0439943388 0.2308064179 0.1252248265 0.2050004392 0.0157979413
#> [61] 0.1606230612 -0.1216955461 0.0962446718 -0.0073393013 -0.0301514660
#> [66] 0.1337413462 -0.0206716883 0.2553700394 -0.0208484033 0.1451659037
#> [71] 0.2972027462 0.2560401048 -0.0462596387 -0.0307030017 0.0225170769
#> [76] 0.0185256008 0.0023015416 0.2069239213 0.2265370137 0.0548828097
#> [81] -0.1432157715 0.1613474651 -0.0123330192 0.1787533984 0.0013740189
#> [86] 0.0433345798 0.3853807094 0.1969992405 0.1383580916 -0.0624929340
#> [91] 0.0001134238 0.0016510355 0.0704260779 0.1447758000 -0.0921421407
#> [96] 0.0589577062 -0.0408239873 0.0188932532 -0.0782262727 -0.0072837721
#> [101] 0.0889591083 -0.0773822665 -0.1721949566 -0.0704340599 0.0168578458
#> [106] 0.2518817221 -0.2785489299 0.2389652995 0.0578343173 -0.1824054653
#> [111] -0.2500073558 0.0685569142 0.1677094849 -0.0435708454 -0.1446760700
#> [116] 0.1736098872 -0.0817770775 -0.1585282048 -0.2375491504 -0.0203573305
#> [121] -0.0545338760 0.0396232112 0.1016393112 0.1107306235 0.0726558412
#> [126] -0.0163275625 0.0095913991 0.0343598672 0.1734305264 0.1085666655
#> [131] -0.0693102711 -0.2017382956 -0.1012103286 -0.0894680213 0.0701561895
#> [136] -0.1756140661 -0.0732605434 0.2445687432 -0.0447303109 0.0098472661
#> [141] 0.1376099900 -0.0607763875 0.0919614024 0.1358436798 0.0718857204
#> [146] 0.0399076330 0.0136988911 0.0459910177 0.1894146528 0.1196483695
#> [151] 0.0790897749 0.1213633938 0.0043634429 -0.1396955978 0.0564760000
#> [156] 0.0634790524 -0.0337835982 -0.0334651154 0.3453808728 -0.0129193442
#> [161] -0.1193855534 -0.0492914097 -0.0305209446 0.1758525084 0.0466950572
#> [166] -0.0908150796 0.1206485322 0.0932109522 -0.0920329906 0.0470903624
#> [171] -0.2022522578 -0.1555878616 0.1715009430 -0.1508137035 0.0176655013
#> [176] 0.0708337363 0.2176438025 -0.0878595751 0.0663944716 0.1908001280
#> [181] 0.0668381188 0.2020735247 0.0646884672 0.2682030777 0.1588978510
#> [186] 0.0977595628 -0.1556200951 -0.1242039931 0.2140235619 -0.0775987422
#> [191] -0.1051761936 0.2936556988 0.0314113395 -0.0392664772 0.1803859995
#> [196] 0.1750855982 -0.0274336446 -0.0121903072 0.1004355672 0.0881680335
#> [201] 0.1639707201 0.0830588253 0.1640298597 0.0163521911 0.0281982424
#> [206] -0.1655348378 0.0486932078 0.1379902357 0.2169797054 0.2528398607
#> [211] 0.0952802756 0.0554853980 0.0021702920 -0.0609083738 0.0430512168
#> [216] -0.1120756900 -0.0613163386 0.0683641157 0.0918251062 0.0991800945
#> [221] -0.0390926105 -0.0086489585 -0.0055883106 0.1261929852 0.2192146678
#> [226] 0.0348324199 0.0623678124 0.3142723758 -0.1763071510 0.1669615270
#> [231] -0.0300741760 0.0505013780 -0.0455650981 0.1967365078 0.0337449838
#> [236] 0.0468683300 0.0624905555 0.0071354068 -0.0068149466 0.1516172535
#> [241] -0.0017042844 0.0909906993 0.1341726976 0.0706661775 0.1064148521
#> [246] -0.0394675290 0.1971291285 -0.0939156551 0.1083752164 -0.0576535379
#> [251] 0.0664778602 -0.1186297257 0.2805284554 -0.0387402738 -0.1561226870
#> [256] 0.1009124181 0.1870544021 0.1556966832 0.0211377791 0.0867511309
#> [261] -0.0782551160 -0.0770357770 -0.1708792425 -0.0942175675 -0.0470975916
#> [266] 0.0035078407 -0.0067973134 0.2389822924 -0.0964900340 0.1027587008
#> [271] -0.0125147849 -0.1664867514 0.1403741307 -0.0685250939 0.1092761429
#> [276] -0.1758900644 0.1628403228 0.3866422817 0.0998201286 -0.0662673807
#> [281] -0.0200427904 0.0770786733 -0.1036786124 0.1360237145 0.0601565145
#> [286] 0.3626810409 0.0917708157 0.2532997639 0.2212074908 -0.0335865574
#> [291] -0.0439841666 -0.2063684672 0.2176035784 0.0049501259 0.1183432163
#> [296] -0.0311627924 0.2095156562 0.1974245188 0.0196948172 -0.1408931646
#> [301] -0.1400181662 0.3043646286 -0.0992141254 0.3024842984 -0.1350982843
#> [306] 0.1131032527 0.0388083328 -0.0952079103 0.0786472047 -0.0263035228
#> [311] -0.0538198042 0.2608045980 0.2375308828 0.0733550556 -0.1024942571
#> [316] -0.1751656930 -0.0420857472 0.2450020957 0.0204680585 0.2998116830
#> [321] 0.2484356478 0.0520065064 -0.0160852192 0.0531897960 0.0857107150
#> [326] 0.0432992016 -0.1682420226 0.1218134824 -0.0037362147 -0.0150418313
#> [331] -0.0435096885 0.2286690091 -0.0605381973 -0.0396145562 0.3018232868
#> [336] 0.0059213825 -0.2675117945 0.0555848098 -0.1284063512 -0.0589311404
#> [341] -0.0189390069 0.0381626736 0.0956622224 -0.3031709975 0.0086184905
#> [346] -0.0371916373 0.1871565083 0.0530906750 -0.0374126739 0.1012372636
#> [351] 0.0188860552 -0.0184722168 0.1871833535 0.0947145715 0.1651965820
#> [356] 0.2372058973 0.2112582318 0.2357624263 0.1185401657 0.0103253423
#> [361] 0.0119481179 0.1268152399 0.2452100691 0.1253644662 -0.0080069655
#> [366] -0.1288668588 0.0038384208 0.0225261227 0.0732264857 0.1101484164
#> [371] -0.0017288097 0.1022265751 0.0423139273 0.2462463182 0.0725983141
#> [376] 0.0432765782 0.0148522718 -0.1789257580 -0.0502551211 0.0212866086
#> [381] -0.0626868412 0.1239736170 0.0294521905 0.0519975663 -0.0969062654
#> [386] 0.0319979177 0.0667879005 -0.2711450335 -0.1754036142 0.0375201884
#> [391] 0.3650838729 -0.1138145852 -0.1881459292 0.0348867579 -0.1556960716
#> [396] -0.0546308808 -0.0163109374 0.1986164236 0.1260541250 -0.1139064551
#> [401] 0.1429731024 0.1901377357 -0.0721758491 0.1425380223 -0.0185639363
#> [406] -0.0928812706 -0.1098756688 0.1261296453 0.0148268384 -0.0444083810
#> [411] 0.1368860218 -0.1286566310 -0.0314739033 0.1403031230 0.2079846811
#> [416] 0.0558582773 0.0808668389 -0.1089162090 0.1335975102 -0.0995677144
#> [421] 0.0211439143 -0.0197721826 -0.0719289709 0.0801323269 -0.0245020493
#> [426] 0.0414613586 0.0829642535 0.1589800342 0.0776410135 -0.2953710207
#> [431] 0.1156705384 -0.0202710523 0.0670590879 -0.0063511448 0.0545682660
#> [436] 0.0695180971 -0.0473462528 0.0954728116 0.3065883687 -0.0242364956
#> [441] 0.0726161700 0.2001205728 -0.0533198234 0.1058454400 -0.0556922514
#> [446] 0.0852282554 -0.1918864754 0.3106907906 0.0757977348 0.1452455566
#> [451] 0.0258284108 0.1570538697 0.0376242270 0.0225799360 -0.0192433624
#> [456] 0.0648428451 0.0463024152 0.2248754102 -0.0161648676 0.0386011806
#> [461] 0.0440891820 0.1025516301 0.0499882138 0.1708418198 0.0831481043
#> [466] -0.0645135614 -0.1412798605 0.2291665895 0.1115704995 0.2777266317
#> [471] 0.1691285946 0.3356368082 -0.1184354462 -0.0334291312 0.0036341514
#> [476] 0.1523653054 0.0279411018 -0.1477821737 -0.0427312987 0.2464854881
#> [481] 0.0301192212 -0.0733974541 0.0523955968 0.0617201761 0.0527626039
#> [486] 0.2723967732 0.0330511994 -0.1219901077 0.2637505598 -0.3641952949
#> [491] 0.0155249521 -0.0271700496 0.0094864819 0.0194292261 -0.0238556592
#> [496] -0.0970795166 0.0801505042 -0.0147107623 -0.0262961347 0.0965722694
#> [501] -0.1788165345 0.3165912244 0.0648676760 0.0965477398 -0.0380609519
#> [506] 0.0292078016 0.1808907631 0.1148958441 0.2041453182 0.1732358308
#> [511] -0.0342555619 -0.0896587079 -0.1561615593 -0.0758505257 0.0718190791
#> [516] 0.1024479481 0.1180860684 -0.1444916834 -0.0415621402 -0.2141915647
#> [521] 0.1697874835 0.0033870588 -0.0123674186 -0.1025481765 -0.0159535223
#> [526] -0.0760574357 0.1350389122 -0.0407644589 0.0528344274 0.1365416507
#> [531] -0.1049363452 0.1752211281 0.1103499524 0.0611155548 0.0695084342
#> [536] 0.2472792173 -0.0161512700 0.0255966915 0.1374633442 0.0218010698
#> [541] -0.2097343757 0.1337060249 0.0547651758 0.0855035519 0.1824718269
#> [546] 0.0955242594 0.0750436467 0.0120297287 0.0289066246 0.0278755823
#> [551] 0.1411463475 0.0804095049 -0.1178269347 0.0306886981 -0.3279054739
#> [556] 0.4466331454 -0.0449779442 -0.1540950614 0.0653358520 0.1368641076
#> [561] -0.0569702465 -0.0237667536 0.0838907152 -0.0821949805 0.0456387842
#> [566] 0.3631454401 0.0694224522 0.1609538218 0.0859192638 -0.0097548974
#> [571] 0.2960773908 0.2446257626 -0.0343358834 0.1203825950 0.1473703985
#> [576] -0.1130432213 -0.1858999495 0.1083058340 -0.0569864196 0.1402952934
#> [581] 0.1679461731 0.2745253648 0.1810494270 -0.1042013266 -0.0135088181
#> [586] 0.2040471680 -0.1080802241 0.1258184589 0.0750989512 -0.0244198345
#> [591] 0.2323014896 0.0087539430 0.1187878949 0.0045308955 -0.0525384990
#> [596] 0.0272104057 -0.2011546361 0.0581912041 0.1270403046 -0.1223597952
#> [601] 0.1103465262 0.0614226817 -0.0006219541 0.0256177105 0.0858944396
#> [606] 0.1952309457 -0.0861463028 -0.1888970905 0.0351195847 0.0913730709
#> [611] 0.1187198018 0.1171143489 0.0130495773 0.0736900661 0.1563159614
#> [616] 0.1071081830 0.1670661965 0.1205258952 -0.0706412858 -0.0454620936
#> [621] -0.0058021115 0.2416431622 -0.0720563850 -0.2810755190 0.0746883295
#> [626] 0.0614542804 0.1993699549 0.1452138079 -0.0089162949 0.1925609782
#> [631] 0.0711662535 0.0224710721 0.0054417556 -0.0744557062 -0.0413206885
#> [636] -0.1519729377 0.0968175130 0.0849233565 0.0690549595 -0.0319334675
#> [641] 0.2784906306 0.0466551048 -0.1112777635 0.0880742683 0.0123103918
#> [646] 0.2065086657 -0.0986205766 0.3099536531 -0.0848810190 0.0899801417
#> [651] -0.0132795207 0.0606721509 0.0908521115 0.0134516146 0.0297069516
#> [656] 0.0736129079 -0.1345593534 -0.0449705705 -0.1611290001 -0.0804272194
#> [661] -0.0722230411 0.0437126759 0.0218543810 0.1164462132 -0.0003812538
#> [666] 0.1566242119 0.1772659656 0.3153879913 0.1402754954 0.1152361558
#> [671] -0.1659237756 0.1971925185 0.0409054318 0.1515383102 -0.0400198442
#> [676] -0.0367944945 0.0350634375 0.0450758205 0.1038765264 0.1956475551
#> [681] 0.2542925804 -0.0715662849 -0.0915142830 0.2702005868 0.0088227670
#> [686] 0.1573943592 0.1429600375 0.0664678706 0.0122811711 0.0865693617
#> [691] 0.2298419308 0.2099351550 -0.1106835214 -0.0225513071 -0.1419404532
#> [696] 0.0810528346 0.0043682724 0.0649216561 0.2335164348 0.1058026244
#> [701] -0.1701616665 0.0265708695 0.3672384324 0.0077156889 0.1541403886
#> [706] 0.1301785446 -0.0749146465 0.0122565682 0.2906953763 -0.1044750946
#> [711] 0.0600209128 0.2042672238 0.0068715990 0.1855400496 0.1436728366
#> [716] 0.0368173465 0.0871351193 0.0637301823 -0.0213231136 -0.1737131380
#> [721] -0.0270341082 0.2186623843 0.1854683045 0.2190252776 0.1236706136
#> [726] 0.1530507666 -0.2748467394 0.1231739662 0.1609340907 -0.2859374329
#> [731] 0.1438082201 -0.0394157468 0.3588702870 -0.0097610029 -0.0074228344
#> [736] 0.2242068361 -0.0633528789 -0.0274701674 0.0739341248 -0.0532474472
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#> [1751] 0.1161530114 0.2529817999 0.0519972260 0.0897603794 0.1016732166
#> [1756] 0.2063588806 0.2120897749 0.0576062298 0.0251152093 0.1505548775
#> [1761] 0.2972597669 0.3280435996 0.3653716176 0.1597178402 0.0150977464
#> [1766] 0.0562308672 0.2309710456 0.2072852967 0.1790027602 0.2568496898
#> [1771] -0.0178493075 0.0271431331 0.0442132767 0.1193034277 -0.0681203599
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#> [1786] -0.1132809077 0.0911198444 -0.0497408951 0.0422130488 0.0238944025
#> [1791] 0.0965312194 0.0029284539 -0.0798027750 0.0719268919 0.1518110776
#> [1796] -0.0563404330 -0.0885843161 -0.2150216863 -0.0960735254 0.0372046145
#> [1801] -0.1267129897 0.0111377902 0.1530925294 0.0584894172 -0.1075358719
#> [1806] -0.0431082199 -0.0364374111 0.1690985919 0.0817238111 -0.2385853751
#> [1811] 0.0345174067 0.2514306919 0.0355972316 0.2086134100 0.0764727749
#> [1816] 0.0031783754 -0.1387058892 0.2140624470 0.0866054931 -0.0297202055
#> [1821] 0.0747523352 -0.0251741531 -0.0181042322 0.1895497403 0.1380444514
#> [1826] -0.0147040334 -0.0515527287 -0.2908313536 -0.0798825601 -0.2226073113
#> [1831] 0.0713737802 -0.0414672674 -0.0915434871 0.2698732698 -0.0015050942
#> [1836] 0.1615983619 0.0748352159 0.0832139038 0.0641376984 0.0688864302
#> [1841] -0.0077955880 0.0205387865 0.1044440007 0.3171719167 0.0571842340
#> [1846] -0.0753779125 0.1550445403 -0.0024118030 0.2329787140 -0.0944008279
#> [1851] 0.1055903686 0.0924261922 -0.0649290882 0.2211656061 0.1520640275
#> [1856] 0.1284149064 -0.0007029981 -0.0053798639 -0.0014000805 -0.0700873938
#> [1861] 0.0586561124 0.0133841140 0.0842115578 0.0859330005 0.2416255009
#> [1866] 0.1578822895 0.0148476904 0.1640337297 -0.0038912149 0.2251520272
#> [1871] 0.1977747163 0.0626030032 0.1338735276 0.1938700991 0.2592485051
#> [1876] 0.2740518337 0.0119306430 0.3271444377 0.0459240442 -0.0247129564
#> [1881] 0.2168168224 0.1484038643 0.2166324097 0.0508507653 0.1189368630
#> [1886] 0.2662860802 0.2118274687 -0.1957560439 0.0231089172 0.2867183170
#> [1891] 0.1042467503 0.0310497675 0.1629967209 0.2296448073 0.1350345257
#> [1896] 0.1305082925 0.3173042382 0.0449202196 -0.1557049081 0.1659152522
#> [1901] 0.0777631688 0.1030702551 0.0608085389 0.1920799193 0.0831960930
#> [1906] 0.0931544264 0.0649652989 0.0592764604 0.1582449122 -0.0083626761
#> [1911] 0.1417811452 0.1737961425 -0.1252746176 0.0631416429 -0.0342302563
#> [1916] -0.0801379260 0.1267744800 -0.0427102958 -0.0241221749 0.0599252748
#> [1921] -0.1410931018 0.1519879946 0.1685189611 0.0052623001 0.0630258799
#> [1926] -0.1368668918 -0.0249794430 0.0625357157 0.1497462895 0.0939344222
#> [1931] -0.1151864458 -0.0410244634 -0.0400936483 -0.0289761146 -0.1350423709
#> [1936] 0.0418538684 0.0163988752 0.0790053731 0.1321692633 0.1357794206
#> [1941] -0.0508335864 0.2489761504 0.2597649120 0.2756304470 -0.1509233905
#> [1946] -0.0689645492 0.2731430328 -0.0285283251 0.1481160742 -0.0188923242
#> [1951] -0.0274314324 0.0413767258 -0.0279574457 0.0368939847 0.0816323083
#> [1956] 0.1108827253 -0.0715513958 0.0679376698 0.0656491896 -0.1798571817
#> [1961] 0.1957493394 0.1516229902 0.1084308009 -0.0639140056 0.0070601972
#> [1966] 0.3216479491 0.1013069066 0.0955475855 -0.0697447339 -0.0843266692
#> [1971] 0.1474504165 -0.0315188660 0.1692394399 0.3088420264 0.1447381930
#> [1976] -0.0544352380 0.0842197158 0.3120073789 0.2553236511 0.0138769656
#> [1981] 0.0602748535 0.1230186683 0.1697488361 0.1705953043 -0.1411898934
#> [1986] -0.0361347507 -0.0020763159 -0.0146389328 -0.1948669655 -0.0500958347
#> [1991] 0.2569612874 0.2174787714 -0.0010880261 0.0721447958 0.0503499096
#> [1996] 0.1826029069 0.1081008845 0.1368670448 0.3354979668 0.2188716532
#> [2001] 0.1489501069 0.1878885979 -0.0000282232 0.1536590200 0.3385031448
#> [2006] 0.3269641199 0.1095720374 0.1675084887 0.2996783230 0.1227690457
#> [2011] 0.0959476928 -0.0080158971 0.2103574906 0.0655455915 0.0976203345
#> [2016] 0.1173971754 0.0742385568 0.2133342579 0.1477705850 0.0249627192
#> [2021] 0.2152890087 0.1083369497 0.0149848217 0.0806438055 0.1929662698
#> [2026] 0.0737537067 -0.0274593896 -0.1449524352 0.0782856840 0.0450963770
#> [2031] 0.1207558997 -0.0727651060 0.3682596472 0.0104632279 -0.0444902581
#> [2036] 0.0525827819 0.1427401860 -0.0846656659 0.0134663307 0.0601727696
#> [2041] 0.2999644080 0.1015802853 0.1817158109 0.0491237044 0.0417958871
#> [2046] 0.0383447468 0.1717883552 -0.1293737704 -0.1595797544 0.0188282079
#> [2051] 0.1999153213 -0.1308992943 -0.0660157762 0.1305594124 -0.0394181817
#> [2056] 0.1773328318 0.0925207864 0.1814766027 0.1502728620 -0.0141373249
#> [2061] 0.1054140493 0.1681361162 -0.0667504636 0.1459671023 0.1575731843
#> [2066] 0.0670888370 0.1466973398 0.1774000270 0.2794721617 0.1891031604
#> [2071] 0.2356976187 -0.1729757675 0.0279627553 -0.0001556956 -0.0991153724
#> [2076] 0.0046356369 0.1372952136 0.1408163664 0.0561401094 0.1749174115
#> [2081] -0.1432731844 0.0751826624 0.0804377594 -0.0655214834 0.1311849572
#> [2086] 0.1722113665 0.1318383088 -0.1017653869 0.0400945503 0.2931645333
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#> [2096] -0.2082530696 -0.0251988458 -0.0969937840 0.1524826202 0.0725031061
#> [2101] 0.2611702001 -0.0013611957 0.1956934143 -0.0716280459 0.1213886198
#> [2106] 0.0061075484 0.2815531249 0.0563706035 0.1312841515 0.0821802530
#> [2111] 0.2337845478 0.0241568924 -0.1748133790 -0.0266331132 0.0409396333
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#> [2141] 0.0911711701 -0.0080426384 0.1768854947 -0.0327938088 0.0133346585
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#> [2151] 0.0169850837 0.0656346928 0.0771399215 0.0621218079 -0.0676756921
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#> [2701] 0.0240001704 0.0244702412 -0.1187333456 0.1217360750 -0.0342543421
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#> [2731] 0.0299619110 0.0978114797 0.2814921919 0.0960285723 0.1152488792
#> [2736] 0.3138515470 0.0237204911 0.0613429847 -0.1098773851 0.1917087257
#> [2741] -0.0438176164 0.1032181544 0.0651375828 0.0620103930 0.2145028286
#> [2746] 0.0903617116 0.2777410412 -0.0761815272 0.1073417839 0.0659717701
#> [2751] 0.2457601311 0.2600612178 -0.0596057116 -0.1303239426 0.2954750030
#> [2756] 0.0912784389 -0.0305560509 -0.1285334392 0.0829935998 -0.0860630820
#> [2761] 0.1928595887 -0.0497615655 0.0946866048 0.0964953363 0.0381653964
#> [2766] 0.0882393654 0.0972282039 0.1059568442 0.2376919759 0.1346530076
#> [2771] 0.0725564593 -0.1120556992 0.0291266431 0.1011746239 -0.1126235794
#> [2776] -0.1679982087 0.1366222234 0.3318603623 0.0738915748 0.1085145513
#> [2781] -0.1285737017 -0.0061849015 0.0198182815 -0.0097392404 0.0041800689
#> [2786] -0.0177100068 -0.1294002610 -0.0601909627 -0.1061135136 0.3303331791
#> [2791] -0.1152913696 0.2958308688 0.0624442097 0.0849693950 -0.1158097118
#> [2796] 0.1582903513 -0.0453953801 0.1125319040 0.0772074874 0.1005187905
#> [2801] 0.0069061236 0.1470974526 0.0698195252 -0.0059671990 0.0401315437
#> [2806] 0.1130245292 0.0588670604 -0.1900482163 0.0297832536 -0.1473158007
#> [2811] 0.0236529577 0.1048809655 0.1789552093 -0.0818675348 -0.0321208319
#> [2816] 0.2121725476 0.2509178049 0.1726549234 0.1873086094 0.1208061724
#> [2821] 0.0135567303 0.1478060760 0.1527463606 -0.0731857411 0.0918451379
#> [2826] 0.2782223899 0.1746640783 0.2208303862 0.1200809381 0.2324094567
#> [2831] 0.0117915915 0.2459890408 0.0050636879 -0.0419212810 -0.0727875908
#> [2836] 0.2997409118 0.0590946799 0.1404051872 0.1621678016 0.1350750429
#> [2841] 0.1409449178 0.2406391792 0.1476821292 0.1828206055 0.0130313964
#> [2846] -0.0828797776 -0.1936221517 0.1511350164 -0.1055194583 -0.0107746545
#> [2851] 0.0233659684 0.0694280323 -0.0134108035 0.0935083943 -0.0337455865
#> [2856] 0.0018510944 -0.0179650916 0.1327672222 -0.0081131489 -0.0401437363
#> [2861] -0.2412375465 -0.1242790223 0.0762228902 -0.0665131407 0.1961060657
#> [2866] -0.2060574993 0.3669540426 -0.0216761550 0.0042891309 -0.1062722798
#> [2871] -0.2566734011 0.0331200178 0.0315967102 0.0321001586 0.2729841325
#> [2876] 0.0973732729 0.0535203748 -0.0532228411 -0.0759935945 0.1906624750
#> [2881] 0.2819138012 -0.1284546223 0.0146677231 0.1077367804 -0.0201980319
#> [2886] 0.0465564562 0.0650713949 0.3744158495 -0.1430707250 0.1186481082
#> [2891] 0.2523483649 0.0353764138 -0.1136846998 -0.2277931526 0.0736849661
#> [2896] 0.0280301349 -0.1272753161 0.1333208465 -0.0750050490 -0.0074481390
#> [2901] 0.1493422607 0.0829947585 0.1086600616 -0.1625320880 -0.0142184544
#> [2906] 0.0825101525 0.0723909800 0.1071200590 0.1610559351 0.1441435717
#> [2911] 0.0522195547 0.2564237042 -0.1276122614 0.1390988590 0.3431277080
#> [2916] -0.1739309445 0.0439405624 0.0077305052 0.0953469258 0.1504179541
#> [2921] 0.2086656223 0.2751088610 0.0876680502 0.1461042340 -0.2673676432
#> [2926] 0.1871503789 0.0761625602 0.1758340632 0.1240396190 0.0230331227
#> [2931] 0.3090392422 0.0706134130 -0.0879011220 -0.0816020508 0.1176421989
#> [2936] -0.0496486063 0.1391725633 0.1003018408 0.1892910422 0.1774818801
#> [2941] 0.1069721796 -0.2433636366 -0.0061155083 0.1764005806 -0.0361281883
#> [2946] 0.0928028563 0.3730203206 -0.1655843809 -0.1460636673 0.1435111657
#> [2951] 0.0547004346 0.2047974839 -0.0093785823 -0.1121970321 0.0397228070
#> [2956] -0.0833586140 0.1070391680 0.2162484511 0.0735880859 -0.0356930244
#> [2961] 0.0680075258 0.0261177638 0.3128905320 0.2582346313 -0.1009435580
#> [2966] 0.1287614808 0.1467987315 -0.0443502673 -0.0427175095 0.0052541920
#> [2971] -0.2123109700 0.2668965000 0.2292064177 0.0752984704 0.1475369719
#> [2976] 0.1094730505 0.1699003363 0.3437435180 0.2197885952 0.1501977539
#> [2981] 0.0954237507 0.1095961258 -0.2307242066 0.0606623871 -0.0799792933
#> [2986] -0.0492901409 0.1793554101 0.0259700836 0.2847133869 0.2886108308
#> [2991] 0.1926126970 -0.0588304896 0.2262864515 -0.0257270076 0.2259397214
#> [2996] 0.1223963340 0.0313512614 -0.0333349716 0.1034238948 0.0188480146
#> [3001] 0.1583553031 0.2932415008 0.0469093490 0.1325295946 -0.0397556278
#> [3006] 0.2194972695 0.0238732878 0.0836598002 0.1353763376 0.0802725852
#> [3011] -0.0289289305 0.0361254220 0.0605661687 0.1091621749 -0.0069985772
#> [3016] -0.0985514094 -0.0199349313 0.0116537384 0.1029462533 0.0324424176
#> [3021] 0.1733474715 0.1624725222 -0.1793186859 -0.0391517584 0.2729973194
#> [3026] 0.2812300378 -0.1114985921 0.1450038314 -0.1566047433 0.3274845341
#> [3031] 0.0179991526 -0.1330269094 0.2104867853 -0.0309943005 0.0586269188
#> [3036] -0.0109295360 -0.0673795856 0.0221183475 0.3028638509 0.0186951868
#> [3041] 0.0682157064 0.0365863555 0.0145893201 0.1612859894 0.0352701061
#> [3046] 0.0041973095 0.1043068481 0.0579908339 0.0990110808 0.1733771423
#> [3051] 0.0583846315 -0.0804107973 0.3282174940 0.0667775180 0.0880132404
#> [3056] -0.2089552386 -0.1653720433 0.0089328910 -0.1220701472 0.1013037978
#> [3061] 0.0791833340 0.1997410758 0.1968714506 0.1127539177 0.1648847444
#> [3066] -0.1306714461 -0.0879706971 -0.1225004711 0.1048504165 0.1716771169
#> [3071] 0.2235254448 0.1639587889 0.0361216711 0.0992325370 0.2568811687
#> [3076] 0.1636931206 0.0205372215 0.1065897073 0.2823440046 0.1282681761
#> [3081] -0.0292297662 0.0403998440 0.0326545120 0.1415057765 0.2952469776
#> [3086] 0.1814292128 -0.0518537512 -0.2081724159 0.3479879879 0.1148778840
#> [3091] -0.0892671495 0.0798296333 0.0851280135 0.2009946094 -0.0210964425
#> [3096] 0.1084810127 -0.0598836202 0.1035147548 0.1630025039 -0.2083621634
#> [3101] 0.0921836420 0.1413254462 0.1582558402 -0.1456252838 0.2565689504
#> [3106] 0.0073211202 0.0853624855 -0.0274947969 -0.0639557137 0.2451362243
#> [3111] 0.3642938720 -0.0415218236 0.3402411129 -0.0227378448 0.0824702502
#> [3116] 0.0442318336 0.1117707437 0.0524655829 0.1987093817 0.0668353770
#> [3121] 0.0703677229 0.2027033926 0.1973893085 -0.0506233177 0.1544836875
#> [3126] 0.0120951013 0.2387378564 0.0668895751 0.3890453123 0.2216299840
#> [3131] 0.0814349605 0.2068576738 0.0155618599 0.2329490629 0.3170452962
#> [3136] 0.0406748745 0.1699222993 0.1021662375 0.0261967139 0.2906663716
#> [3141] 0.1435001556 0.2082485130 0.2077911771 0.1148288192 0.1808488231
#> [3146] -0.0995070503 -0.0148877808 0.1303687357 0.2038418257 0.0595449049
#> [3151] -0.1078082961 0.2809821831 0.0857584926 0.0671606897 0.1908931574
#> [3156] 0.0281684369 0.1858380701 0.1143720282 0.2870252353 -0.0805980424
#>
#> $mod1_unimodal$ref_properties$cell$pca_dist
#> [1] 51.87334 46.67669 56.53053 59.05322 60.20066 53.52601 46.84286 54.55804
#> [9] 46.80355 49.49141 57.61628 55.02933 45.96596 49.83713 48.37206 53.23463
#> [17] 62.88844 59.22314 46.68544 52.90133 57.68058 63.24571 58.93582 51.39563
#> [25] 64.07697 48.62533 60.25139 50.06203 63.59021 52.83642 62.97356 53.86443
#> [33] 50.27889 59.17582 59.77978 48.55982 47.02271 49.28933 55.11271 63.70889
#> [41] 61.53025 51.54500 47.84368 63.25138 46.50535 60.38745 43.48074 45.20812
#> [49] 56.53445 62.27631 50.94813 49.74245 67.13522 60.94970 50.89631 47.60369
#> [57] 57.04428 50.71338 56.50639 51.07076 51.20523 47.82885 50.86425 45.96653
#> [65] 51.43290 59.47009 48.97518 46.34724 50.76817 54.90718 39.12870 57.75890
#> [73] 45.50837 50.89624 62.35923 50.63856 59.15457 64.36344 51.58685 47.00571
#> [81] 49.35139 39.93621 51.81713 47.10965 38.22890 50.89089 50.31109 39.96343
#> [89] 47.82029 35.50842 50.28302 42.95356 52.03540 46.04259 37.87721 42.57300
#> [97] 45.57887 40.79823 50.13879 56.12522 53.36836 27.14059 39.75622 41.99332
#> [105] 45.17283 33.68247 52.49517 41.52154 57.16412 45.14075 52.02515 44.90200
#> [113] 49.40434 47.52286 49.12757 46.14054 51.95745 48.45544 56.04844 43.48865
#> [121] 46.66406 44.04882 47.63345 52.45538 43.35551 43.13740 34.44129 46.23746
#> [129] 43.21224 47.37556 49.32849 51.43583 43.22965 39.75992 44.78875 47.97913
#> [137] 37.84719 49.12526 51.37124 45.26086 41.11227 42.81879 44.25011 52.57583
#> [145] 48.83061 47.64896 48.74916 55.64850 47.99244 53.44950 46.27105 37.33960
#> [153] 51.29522 49.23862 47.60540 56.23430 44.83591 46.02727 51.08549 52.97471
#> [161] 50.48333 45.23387 54.67308 51.28627 41.42308 41.97948 52.18855 61.80815
#> [169] 52.13563 46.18434 51.75587 56.07916 54.10126 46.39832 45.95239 55.92459
#> [177] 51.30056 54.05158 50.38046 55.72183 32.53160 60.31207 44.84727 58.38023
#> [185] 54.14236 50.29197 52.84645 58.08181 57.99388 48.36790 51.43696 43.72327
#> [193] 52.21592 47.95913 49.45163 51.33760 48.07413 51.78833 57.60517 42.15315
#> [201] 49.26833 41.91908 44.88338 37.94177 53.03091 49.51944 46.18234 56.53436
#> [209] 53.52799 50.48748 46.16212 52.86121 54.51328 51.41003 49.53875 54.51751
#> [217] 38.29774 48.23201 48.14763 41.11387 51.77502 41.07054 45.38494 50.05398
#> [225] 66.07319 46.46610 51.51984 42.53888 44.97792 45.99566 54.94645 52.44254
#> [233] 47.46917 47.90655 50.95967 43.52640 43.09920 39.88419 40.19566 60.33333
#> [241] 40.06644 43.07012 42.50485 51.06843 57.71281 53.49763 43.22815 55.14394
#> [249] 55.58111 44.94296 35.67283 59.13295 54.31496 51.77201 57.38393 46.38127
#> [257] 45.73629 55.52589 43.58444 61.63555 42.47836 50.36168 49.25032 54.77500
#> [265] 53.40560 49.16696 49.19336 49.53637 47.65382 46.46349 43.67690 45.03911
#> [273] 55.77301 54.35235 54.27427 51.07291 57.83450 39.85709 45.16915 52.94411
#> [281] 52.40237 47.06668 54.02875 53.94969 57.55519 54.10518 39.57345 51.65697
#> [289] 45.63207 47.92775 47.95396 42.37536 36.38507 52.31382 47.94864 46.98114
#> [297] 44.93494 51.08034 43.78017 32.82889 52.27416 48.70457 59.50166 51.30436
#> [305] 51.94470 50.76995 51.19929 53.08556 55.27477 43.27675 50.33667 33.45897
#> [313] 40.54423 46.45988 50.42743 37.52760 51.97079 44.63378 57.26817 47.25406
#> [321] 45.83341 52.42714 41.12377 51.40306 37.24405 27.80974 53.87453 50.99613
#> [329] 54.68590 36.19606 45.31041 42.66713 58.38832 36.67663 53.69006 43.09268
#> [337] 43.51928 44.90637 48.56959 30.94031 42.36951 38.43556 54.92100 46.70334
#> [345] 48.72807 47.66628 56.78315 42.84673 49.88685 52.47029 30.83074 46.31417
#> [353] 37.91463 46.78948 37.55813 46.57868 36.80763 47.98815 44.45889 44.19733
#> [361] 54.08164 50.06576 49.06361 47.99385 42.82511 50.37003 46.32574 46.55214
#> [369] 45.33365 37.23134 35.37008 34.11762 41.89462 40.74772 41.30575 55.70774
#> [377] 40.13355 46.85675 51.60191 23.96377 53.10881 53.08730 41.79198 51.30489
#> [385] 48.46518 45.78228 42.88501 44.85531 54.85188 51.42834 42.31604 45.99488
#> [393] 57.70208 57.33792 65.47474 57.07861 59.06481 45.02674 51.28207 50.03423
#> [401] 68.17945 51.62094 58.95152 53.17134 59.86935 53.05466 59.12487 42.17196
#> [409] 65.40633 49.47740 49.76285 43.30195 49.46249 53.77475 50.92591 58.09580
#> [417] 56.00295 46.65953 44.29263 54.30426 55.53310 61.87505 51.99223 53.55674
#> [425] 54.43773 51.03659 48.15036 46.73400 51.30796 64.76592 54.40859 58.95352
#> [433] 57.90257 63.11037 59.39447 60.60829 51.98760 50.04311 52.96027 53.71663
#> [441] 46.93330 41.85632 51.63459 55.94526 50.53278 56.59813 49.01476 54.09487
#> [449] 50.30016 53.92589 46.85380 49.61863 53.22922 50.51267 63.71969 59.22601
#> [457] 57.05105 49.93178 52.57369 32.88170 34.58196 39.44684 28.53030 53.23744
#> [465] 40.97540 54.84035 41.28652 42.70168 44.72635 47.50700 51.32852 32.26615
#> [473] 34.16559 51.67908 42.60614 53.17279 45.15118 50.09759 36.17702 52.58048
#> [481] 34.74577 51.69971 39.26031 43.20729 35.17874 43.99305 31.28644 39.22624
#> [489] 29.87429 45.65850 40.76119 40.44935 39.37472 48.09009 47.57829 46.08552
#> [497] 44.10995 42.79065 46.85194 26.44540 36.52717 46.61572 47.65330 43.84134
#> [505] 49.19272 40.64781 50.86667 45.74568 47.07854 46.61658 43.66381 46.69641
#> [513] 38.86608 37.68129 40.41853 41.00622 36.34417 29.34652 27.30227 41.26282
#> [521] 33.30553 30.98654 58.91741 33.54456 39.90780 41.64252 31.23051 50.44465
#> [529] 42.58630 49.94472 49.62471 40.37117 40.12929 48.85358 31.01006 41.05682
#> [537] 40.33967 54.17196 42.27067 40.27466 46.51694 41.71002 47.64789 35.61605
#> [545] 36.37578 48.09491 42.09213 54.07941 42.09828 43.31127 34.48367 48.88112
#> [553] 27.21886 56.53109 43.77543 51.20273 34.67722 41.02774 46.62696 41.02214
#> [561] 30.52245 39.02233 34.14169 45.00849 45.72595 49.01025 44.83487 34.24773
#> [569] 45.09501 45.05600 51.33079 35.25776 41.89999 39.42175 57.58373 46.59258
#> [577] 50.90742 42.06613 47.03994 47.37108 43.97936 49.18178 39.88670 47.32004
#> [585] 38.30887 38.57180 41.52629 47.24278 36.51798 38.35868 42.54011 40.31506
#> [593] 37.60400 40.41504 49.22609 32.71105 52.12226 30.56219 33.45712 53.71576
#> [601] 41.89659 50.88220 47.43191 39.25828 44.00508 31.86481 56.59371 44.31971
#> [609] 47.14623 50.17102 53.19037 39.53825 50.00374 54.65371 42.28459 32.92896
#> [617] 52.04610 44.47978 58.04294 48.64900 51.36172 41.89103 55.94467 37.26237
#> [625] 54.58120 27.04207 52.76936 43.64375 50.63339 47.36416 50.36153 47.74087
#> [633] 52.56190 42.19169 48.05811 57.42935 51.69534 47.31667 48.61790 52.85021
#> [641] 45.49574 47.79667 33.61455 50.49149 50.40563 60.00702 47.48143 48.82683
#> [649] 51.54843 53.28309 56.77388 51.47738 44.59601 45.87185 53.36220 39.70603
#> [657] 44.81591 36.41398 43.32333 40.00508 36.79925 46.78179 43.22739 46.96522
#> [665] 43.96754 54.25884 42.73304 46.00902 48.01141 42.08986 53.04313 48.63110
#> [673] 52.60254 49.62579 42.66859 43.07920 57.78191 50.99994 51.66719 47.44023
#> [681] 58.80679 49.09962 54.30823 53.36737 47.96213 48.79510 54.45616 53.95913
#> [689] 62.51307 39.82254 54.92321 38.51399 62.51444 44.52304 56.09880 53.73522
#> [697] 56.24433 46.66080 54.48878 45.41762 55.21162 46.75009 51.69593 44.35401
#> [705] 49.54540 53.18973 60.21738 50.48881 44.22480 51.79424 48.36119 45.95664
#> [713] 36.26523 43.44558 44.03760 55.92646 54.78100 48.38648 48.69266 61.30339
#> [721] 46.66433 53.86413 57.64393 50.95697 53.36235 36.00100 47.70220 42.90721
#> [729] 42.54165 45.91884 32.16197 48.25496 36.73342 45.00197 50.06714 62.51238
#> [737] 43.09923 39.25879 50.01554 40.34193 54.34346 53.30023 55.50769 53.47202
#> [745] 49.16662 44.08033 44.26628 50.42972 38.38312 35.53794 40.41073 41.15518
#> [753] 47.21616 31.79315 24.71338 45.74951 43.42088 52.69050 45.24949 43.13367
#> [761] 35.67695 46.73969 32.04282 52.19176 34.08921 47.13053 44.43449 46.12063
#> [769] 44.31120 48.27244 33.82478 47.30534 40.10314 47.78116 49.79762 48.24260
#> [777] 38.83463 41.98560 45.40758 37.77117 45.08453 29.51194 38.84509 39.73567
#> [785] 48.25238 40.73891 44.88346 41.06241 43.99961 44.56389 41.68418 43.24952
#> [793] 50.89385 45.29896 36.74540 44.35536 34.68158 41.31277 37.38995 30.21451
#> [801] 38.01202 39.72305 39.64989 39.53304 60.73351 39.27717 42.94863 38.94491
#> [809] 31.94696 49.51250 49.62502 47.38499 53.98381 38.10401 55.18504 61.19612
#> [817] 59.95376 55.06044 61.46544 55.19671 42.43282 52.70781 44.20754 64.40186
#> [825] 49.03732 63.48098 53.09117 50.66526 50.80060 52.87547 45.63481 65.96188
#> [833] 59.81574 58.06498 52.83599 53.94886 63.52868 60.67693 51.14945 54.12444
#> [841] 43.03020 47.90038 53.39816 56.67118 55.24456 48.38882 53.03929 51.07677
#> [849] 46.53325 52.68530 47.32763 40.74317 57.32982 50.25192 57.25871 53.28971
#> [857] 55.01822 50.14867 49.73552 53.89061 55.85789 45.77189 52.51835 52.66596
#> [865] 43.14100 55.22150 56.29755 49.12508 54.96622 49.20965 46.70952 50.44443
#> [873] 56.41487 47.24232 57.76269 50.67004 49.72610 61.69235 64.18312 56.05892
#> [881] 55.65071 55.91123 46.92346 51.87663 55.25856 50.68185 46.18321 59.50470
#> [889] 38.20988 39.13206 56.42218 57.98336 55.38923 41.40050 46.45356 39.07009
#> [897] 62.56832 35.45459 55.30077 35.82397 60.87516 32.50721 61.68045 50.16589
#> [905] 46.68550 47.89094 47.27435 45.21648 49.47685 49.26345 54.69814 47.33980
#> [913] 57.47753 49.74223 52.73492 56.49428 44.38051 43.80714 49.38727 55.68198
#> [921] 47.53752 43.63824 51.33294 55.33575 45.46297 53.32038 51.36164 48.63430
#> [929] 47.86853 49.73294 50.39846 39.17012 35.05248 42.17020 43.41577 52.64033
#> [937] 47.39423 44.86024 40.07121 56.34169 48.15734 52.70927 48.57025 37.58478
#> [945] 57.06164 49.73545 50.20700 61.81308 41.56138 51.47880 65.22464 54.12191
#> [953] 55.30013 55.39915 43.74413 45.16277 52.66930 63.88044 59.65627 53.39834
#> [961] 56.21506 57.93186 62.22092 46.74021 64.53212 43.57850 57.52577 51.90175
#> [969] 54.33312 56.86873 58.13083 52.08843 54.30976 45.40003 62.87606 66.70092
#> [977] 55.60573 47.17509 52.01757 60.49557 56.55991 62.64225 47.51340 56.71489
#> [985] 62.00228 58.17361 45.11782 42.86667 68.16478 59.82398 50.56228 45.06777
#> [993] 46.98976 58.77834 51.67990 50.26905 47.22155 42.07198 49.70201 49.61867
#> [1001] 51.39555 59.66812 49.06797 50.12914 47.37956 61.76104 53.99560 56.28239
#> [1009] 61.19874 52.05138 61.04319 56.38373 52.55398 70.36387 49.48100 55.94055
#> [1017] 47.53071 43.71687 47.59917 36.12967 48.16305 48.61325 55.53355 37.59276
#> [1025] 44.84055 54.26183 50.26491 54.72735 41.41647 62.46596 49.67288 46.93563
#> [1033] 47.25270 44.06270 44.85166 47.85106 44.88999 45.95917 47.08086 54.00929
#> [1041] 56.90987 41.01176 47.82673 38.32759 44.35952 49.53252 48.91313 33.43224
#> [1049] 44.87125 50.72149 49.64073 44.59054 51.86240 52.05284 61.59899 53.43179
#> [1057] 44.18883 49.45901 58.30716 49.47271 37.14971 48.31451 51.67016 44.82857
#> [1065] 48.06297 45.88581 47.28370 53.73601 48.55848 49.61135 64.67570 45.90266
#> [1073] 47.93862 45.19976 39.06098 47.51803 51.06712 52.66263 57.03326 44.93834
#> [1081] 54.95378 54.34691 60.91011 44.38439 40.24130 56.95065 57.19301 67.13385
#> [1089] 56.67058 59.94611 43.92973 57.86054 46.61031 55.72801 49.27394 60.77900
#> [1097] 51.99359 51.49043 56.00013 53.21151 34.30916 48.42482 50.85019 58.19950
#> [1105] 53.95714 58.74142 47.46600 56.68588 53.97580 40.67254 61.17966 43.60619
#> [1113] 52.67234 53.37887 59.69698 46.67327 52.81933 60.11572 41.57308 47.72028
#> [1121] 51.44920 55.16648 53.55624 52.42831 53.04770 52.42324 48.73744 50.20105
#> [1129] 43.94848 47.48609 49.84287 48.56415 47.39823 52.19805 61.47132 42.06887
#> [1137] 51.83157 45.50119 41.28911 60.03193 50.62736 54.52711 62.08003 51.99334
#> [1145] 52.38696 50.47687 50.11221 43.21491 59.64598 61.69834 53.19023 46.55386
#> [1153] 48.66671 43.53872 60.50682 38.25604 56.76048 42.09944 53.58656 52.87161
#> [1161] 54.55920 47.30124 52.97935 50.56138 53.65245 51.85258 44.28458 50.34515
#> [1169] 50.22240 50.76774 50.54302 46.78947 48.07178 57.88350 31.62781 45.27943
#> [1177] 49.80527 44.39655 52.51694 47.21042 56.06480 56.49708 55.63627 42.25080
#> [1185] 54.38384 51.91766 49.92579 44.27616 35.42219 48.72327 50.61908 41.54877
#> [1193] 41.16532 48.64818 51.08270 56.92756 47.74017 57.58676 48.90063 54.15840
#> [1201] 45.21026 48.67532 48.98915 39.14270 56.77445 57.68262 39.07597 56.66206
#> [1209] 44.06229 38.89883 44.36923 50.16389 52.97847 40.60120 31.89128 46.24753
#> [1217] 59.41555 40.12881 59.81769 50.40673 51.92566 46.76067 47.29579 54.54358
#> [1225] 43.17346 40.17613 49.77046 51.06399 53.72653 52.28159 53.35910 39.66620
#> [1233] 52.43330 45.86815 42.19776 43.84322 44.54092 53.64104 36.35838 51.98735
#> [1241] 34.10537 48.49889 44.44771 54.27885 44.17669 49.13793 46.12240 51.49554
#> [1249] 38.12175 49.20590 49.73446 46.69289 46.28534 47.34942 45.97447 54.38078
#> [1257] 51.18674 51.61432 51.94335 57.33941 46.80854 45.93093 49.14709 40.17683
#> [1265] 51.43439 50.13465 48.63929 52.47776 38.87464 53.24467 51.55972 61.56122
#> [1273] 54.02104 62.30617 46.30040 59.56370 58.21608 48.21916 39.54962 56.38328
#> [1281] 54.09005 51.73997 52.10270 47.48558 49.50197 56.81051 54.24864 56.87457
#> [1289] 39.56718 50.14186 55.16107 49.93862 55.55730 40.21203 38.34185 55.69880
#> [1297] 52.99784 46.78132 50.57942 48.35782 47.97227 51.68587 55.60899 62.84383
#> [1305] 54.18798 53.11078 45.29714 44.45103 57.22875 40.41684 48.75510 44.97224
#> [1313] 52.65004 53.53074 57.09102 49.24966 55.28705 51.98514 55.86194 59.25115
#> [1321] 60.73383 49.32037 50.48017 53.23746 48.08092 60.21385 57.62946 58.55634
#> [1329] 55.17376 55.63824 33.11769 39.59834 47.77501 45.67806 46.31390 51.92135
#> [1337] 40.90335 61.30039 33.23657 52.25895 38.84108 45.79419 39.55848 51.30458
#> [1345] 41.60828 38.04722 35.77389 47.33435 37.14579 47.81936 51.42535 41.80050
#> [1353] 38.33171 42.99252 47.60920 38.20162 51.17548 30.27362 39.44831 48.58618
#> [1361] 50.25171 39.24412 41.19830 49.33195 47.58712 49.91832 45.83490 46.96871
#> [1369] 48.08438 43.17730 40.29644 43.84618 39.84464 41.43808 40.88512 34.29819
#> [1377] 39.28551 39.67478 36.52259 39.32379 58.20020 34.82734 44.94445 44.39253
#> [1385] 28.54896 54.97930 52.84200 54.02668 56.40576 36.98657 51.50064 48.22264
#> [1393] 54.77439 42.84578 36.19205 38.49979 56.88555 32.98219 51.56605 31.91375
#> [1401] 46.56542 41.33482 50.28145 44.40528 46.72991 34.56330 47.67894 38.29820
#> [1409] 46.97293 49.80378 49.92388 37.68133 48.45030 50.79526 31.77857 44.44015
#> [1417] 35.19814 45.96382 40.07146 44.92653 31.46970 40.37488 45.36971 40.69623
#> [1425] 46.73946 42.57303 43.31942 47.90504 40.85208 42.49380 41.91622 34.06962
#> [1433] 41.08839 34.34175 32.83192 37.92636 40.03324 36.68474 33.99251 51.87828
#> [1441] 39.18653 47.65011 45.74206 28.96636 50.64753 49.44926 37.75778 54.27596
#> [1449] 39.97212 47.46335 53.33591 48.72599 58.15944 48.88399 55.50847 46.59977
#> [1457] 57.44489 54.88558 58.90174 61.22431 55.65344 51.33481 46.85884 49.12954
#> [1465] 59.67153 52.66060 62.97258 57.46890 51.74485 37.43413 46.10828 54.87673
#> [1473] 50.31497 58.93918 40.27287 57.50475 50.61399 64.10040 50.08001 50.31186
#> [1481] 53.63776 52.10973 58.58421 46.13782 51.40876 49.12834 50.59165 47.17875
#> [1489] 57.57022 52.20589 51.42137 50.58692 45.54926 51.11764 43.66447 50.00357
#> [1497] 59.07252 65.44998 51.54252 51.13722 59.49739 46.93090 50.58966 59.48067
#> [1505] 66.41252 54.40087 47.53661 64.20101 49.93850 59.15827 42.55703 52.37215
#> [1513] 44.14106 61.05710 52.76873 56.45458 48.33762 50.20326 56.47083 46.43792
#> [1521] 46.50914 53.15939 47.00899 42.75989 56.75751 55.24666 45.40586 51.90567
#> [1529] 54.41703 51.11252 37.62811 46.50197 56.19769 41.99258 60.65959 49.45779
#> [1537] 53.34875 52.86525 54.01319 54.63326 52.84542 38.83743 50.44674 50.49830
#> [1545] 53.42182 54.01018 47.31684 53.48509 46.13612 38.58096 48.90438 47.10312
#> [1553] 41.10494 50.25381 66.18743 38.73159 51.36449 46.67921 46.80457 54.71309
#> [1561] 51.80114 64.89294 37.91160 52.61588 53.91715 57.41383 58.83806 60.71039
#> [1569] 50.94442 68.40622 59.81467 50.79675 63.02175 56.45039 53.43728 55.95423
#> [1577] 58.84193 58.60966 61.24441 52.69828 53.23773 41.53688 52.93332 50.49070
#> [1585] 58.00966 51.59502 53.75011 38.56424 45.71884 58.59937 55.55365 47.59437
#> [1593] 54.33363 50.62806 65.58582 67.62722 49.49219 59.45453 57.63119 56.74872
#> [1601] 49.32240 55.54794 59.88106 46.97757 55.76515 57.18575 47.82990 59.95316
#> [1609] 54.70607 51.15711 60.09619 57.09919 56.75607 58.46372 52.11833 42.88143
#> [1617] 59.49697 56.50509 61.77556 46.14244 45.59724 37.37104 53.30397 33.67665
#> [1625] 52.88765 47.41621 59.83729 45.11154 53.09906 39.83484 49.92587 47.33190
#> [1633] 52.83714 44.44239 43.87688 50.53657 58.06031 37.32577 43.76925 45.67742
#> [1641] 42.10565 42.23467 39.15565 45.72642 29.29372 47.96750 45.26714 41.77696
#> [1649] 46.08258 49.18235 49.98542 45.83439 49.04372 45.00131 41.39198 46.13510
#> [1657] 48.47005 49.78023 38.37089 34.45771 34.91975 46.61344 41.66986 44.71216
#> [1665] 49.36356 51.34660 41.59791 49.92867 47.47243 30.35321 48.12955 46.31512
#> [1673] 51.04370 48.96477 48.43429 47.01272 63.41651 41.21403 57.13673 53.56833
#> [1681] 52.47849 49.73148 58.66636 57.63151 53.98959 43.35951 50.11539 50.02259
#> [1689] 51.99363 46.80591 60.27764 51.04829 52.18166 57.72062 48.22165 51.13306
#> [1697] 49.31966 49.60835 38.30911 47.05465 42.13553 52.60524 38.18916 58.53288
#> [1705] 47.59579 47.80212 54.05122 50.25249 45.67504 50.29708 50.27350 50.22904
#> [1713] 51.73446 50.54184 49.23005 52.87867 54.65725 47.67652 45.72311 55.52054
#> [1721] 51.61528 59.29247 46.86171 46.00340 55.94061 52.32084 42.46355 59.43133
#> [1729] 36.15858 60.36694 35.51592 54.99917 45.03937 54.87747 39.01126 55.65261
#> [1737] 47.17460 39.38190 39.53120 40.49151 46.12332 42.59924 44.78215 54.46262
#> [1745] 40.37028 49.95027 51.13244 42.11959 46.96736 34.47513 44.74341 31.27600
#> [1753] 52.81856 50.22799 41.36371 45.94649 49.85701 44.76191 46.47718 52.29126
#> [1761] 45.56143 50.07129 42.48244 45.52530 35.12305 43.45737 30.15465 23.71396
#> [1769] 42.75092 32.73740 37.95080 40.34657 61.75035 38.34188 48.93293 36.24159
#> [1777] 33.65093 44.09732 40.49844 52.54466 42.71668 42.25930 52.39564 69.10686
#> [1785] 55.76997 65.38041 66.27197 44.25307 55.48553 66.58673 55.62640 64.01781
#> [1793] 60.13872 61.06894 58.35658 63.36866 54.42091 52.98906 55.64132 62.45550
#> [1801] 59.35480 50.75586 53.98660 55.75975 63.36810 55.24069 63.21629 57.91267
#> [1809] 58.04630 56.37987 44.42428 46.88605 58.57014 56.40831 59.27377 59.60020
#> [1817] 57.11329 55.21452 53.16051 57.42261 54.11505 59.45841 54.84159 55.85671
#> [1825] 67.78623 58.66662 59.97909 60.63326 58.98454 54.95836 57.58884 62.65809
#> [1833] 63.72526 61.80938 43.61009 37.06792 46.78051 35.51529 48.42580 42.69742
#> [1841] 42.96365 35.54588 44.63721 31.47421 38.22027 45.03049 47.54091 33.21705
#> [1849] 34.37536 42.42849 41.37710 47.83673 32.75690 39.05733 37.11323 47.75429
#> [1857] 42.40120 32.84210 41.15142 34.17614 46.73492 45.50971 40.40219 44.11269
#> [1865] 43.58334 39.74715 35.15428 43.30600 36.16965 33.62787 32.32005 41.96700
#> [1873] 33.01214 41.90235 43.96678 52.52065 37.11502 43.74977 31.87780 25.92800
#> [1881] 51.83423 40.27630 44.94695 51.33369 29.32422 51.65671 58.84687 52.78572
#> [1889] 71.71429 54.48963 56.51046 54.07509 56.16709 44.33368 53.87072 48.64850
#> [1897] 59.74406 57.43028 54.45463 58.01374 52.02588 62.27784 51.02889 53.39454
#> [1905] 57.02396 52.46060 51.73805 53.66750 59.29072 50.73713 57.59826 59.01753
#> [1913] 49.63054 43.60387 49.34465 54.52117 62.06952 62.60498 44.59228 61.76695
#> [1921] 54.81154 58.31792 55.71627 50.98085 64.61445 59.46269 49.83463 52.41503
#> [1929] 51.23046 46.24693 67.08098 59.30488 57.97313 59.85679 43.48372 55.64813
#> [1937] 42.30404 55.22877 46.86831 49.41342 49.99960 53.22091 46.37222 52.53924
#> [1945] 60.59131 55.52935 46.33938 57.09006 53.98231 46.14204 55.78937 40.67160
#> [1953] 49.82151 52.92397 54.42824 43.66399 46.25220 60.72432 51.83697 53.18439
#> [1961] 49.86771 38.25662 50.89286 48.96043 51.84878 50.81293 38.01911 42.57885
#> [1969] 40.06483 42.23057 52.80179 50.26530 48.97536 44.27755 59.75472 45.42809
#> [1977] 51.72020 48.97533 41.22875 58.93140 49.45434 52.10623 59.41426 44.21118
#> [1985] 53.88322 45.61067 45.28271 38.99256 47.48255 51.73269 54.29583 53.06343
#> [1993] 47.12468 49.00506 58.68607 50.40072 60.31105 45.28383 54.99339 40.99769
#> [2001] 50.16217 52.32980 48.29558 42.96564 56.47490 55.44959 61.69508 58.21299
#> [2009] 50.52882 48.49373 54.55200 50.90400 52.00339 44.09450 48.81703 57.97556
#> [2017] 57.63489 49.50826 45.73145 50.30778 50.32954 48.55904 68.06285 49.51711
#> [2025] 45.67069 53.60962 49.59605 53.87547 56.29464 46.59453 50.04952 42.56235
#> [2033] 52.90914 51.01221 38.25294 38.04720 30.62207 31.69053 44.52842 49.45505
#> [2041] 48.95043 53.33223 50.91887 44.35955 52.74293 49.58691 44.58103 49.86187
#> [2049] 49.02127 53.34681 45.24765 49.69901 56.56511 58.00566 40.85590 53.42802
#> [2057] 46.06679 46.32454 44.99296 43.43058 43.40362 41.21569 41.90939 44.65515
#> [2065] 42.38787 52.54226 49.19262 38.32338 41.74067 55.10888 35.06346 49.35054
#> [2073] 37.03101 35.08562 59.28398 41.68617 48.99609 49.88714 44.01687 50.03114
#> [2081] 47.81965 39.96167 50.38569 53.38132 54.64004 56.20338 54.33332 52.28119
#> [2089] 47.35201 50.35468 47.87383 51.88300 40.93510 53.68677 52.32727 60.30718
#> [2097] 42.32466 58.42515 59.91266 59.26610 49.66525 45.38556 46.25593 52.33689
#> [2105] 49.13853 51.55753 38.05723 47.36068 56.80271 47.17899 51.42956 50.89564
#> [2113] 51.34997 51.85977 48.95699 57.68632 42.26121 46.01160 52.48121 51.80298
#> [2121] 53.87620 44.95603 53.70189 51.54309 53.35251 42.60984 46.54326 59.63293
#> [2129] 50.16250 52.09215 44.12958 53.73793 52.96597 47.08951 49.32154 46.28260
#> [2137] 57.93094 30.84637 45.71078 49.68690 47.53434 50.83059 55.83520 50.91174
#> [2145] 55.92379 59.85372 45.77451 54.84400 45.72050 47.78685 46.21139 43.92267
#> [2153] 52.25922 50.52130 42.80804 36.97915 29.70530 45.47376 45.00587 43.94873
#> [2161] 60.82274 45.85957 49.25588 58.53907 36.78676 50.63432 52.32074 55.95255
#> [2169] 52.15989 52.62930 41.99139 41.28694 49.25102 50.22270 43.02190 44.12203
#> [2177] 52.38580 54.07498 48.33184 46.65700 55.89928 38.61398 54.01091 46.64622
#> [2185] 52.66540 44.42212 53.92245 58.98958 59.64432 50.69492 47.15519 47.52735
#> [2193] 42.33272 42.00480 49.68639 42.98562 42.56264 54.16948 48.04491 42.11986
#> [2201] 47.70458 46.84557 44.94677 46.36711 61.98345 39.80650 47.59747 48.48982
#> [2209] 42.78716 50.13939 44.38760 57.26691 36.85951 43.44952 37.61232 38.57089
#> [2217] 47.31443 42.88974 51.26688 40.60284 44.03601 47.58302 41.68528 51.06493
#> [2225] 36.12251 45.82743 45.99769 48.29008 37.11356 44.52031 45.11178 43.35470
#> [2233] 36.05323 42.71471 46.91144 46.29570 44.42507 42.46075 34.77186 45.32292
#> [2241] 46.12509 35.68114 37.78272 37.23451 41.56789 32.05560 36.32193 56.83275
#> [2249] 32.54740 46.07647 37.21387 33.43005 53.39541 37.16319 45.00348 55.54110
#> [2257] 38.63375 40.03009 51.48121 47.43090 43.75406 54.89520 49.36462 51.40017
#> [2265] 54.39934 53.15900 45.19443 54.69900 51.96520 53.15434 43.17671 51.45429
#> [2273] 60.89914 60.78124 39.12464 43.96578 47.61525 48.40515 49.38903 41.51584
#> [2281] 46.72394 44.59075 45.97657 48.59168 50.79833 55.23690 52.97807 37.25568
#> [2289] 44.80220 58.09833 41.18260 54.16621 34.76823 45.21402 48.74247 37.24972
#> [2297] 43.69436 48.41518 44.36843 46.67547 51.09948 43.43628 48.64497 31.93517
#> [2305] 42.85918 49.70672 49.71834 40.96379 49.16268 49.00964 52.57120 45.12065
#> [2313] 47.78122 54.03765 47.61996 47.79256 46.15945 46.19992 42.94648 41.94877
#> [2321] 32.18881 42.12774 45.67490 42.67727 48.00440 41.68959 48.12749 42.81906
#> [2329] 35.51535 47.97244 46.59527 34.69265 50.23590 41.30371 33.38645 59.54628
#> [2337] 51.23274 50.72881 51.62632 44.78854 42.93663 52.66614 50.32542 52.78181
#> [2345] 49.34645 43.86712 37.61370 39.83446 34.95092 42.53651 42.72325 46.52732
#> [2353] 45.57155 48.50031 55.82834 51.39210 51.39750 47.34777 44.35792 43.82172
#> [2361] 53.19429 41.22250 51.16502 45.53214 44.28643 39.58971 45.18210 50.75955
#> [2369] 43.01395 41.69544 52.12569 32.36719 50.28290 37.83506 45.47981 55.72636
#> [2377] 42.04625 59.78622 47.99535 40.25258 48.02988 58.32296 52.96591 46.40326
#> [2385] 52.25127 56.98240 39.43665 41.76474 48.59208 43.93392 49.11863 56.18414
#> [2393] 43.75955 57.02956 47.44579 44.49377 56.53264 38.68182 43.40202 47.71393
#> [2401] 44.08859 52.99319 47.73922 53.51736 47.64375 38.51787 50.85705 42.39188
#> [2409] 43.87276 56.01580 48.19001 49.72181 50.93332 47.83315 46.63241 46.69590
#> [2417] 52.86070 49.68697 42.03644 54.71718 47.14193 38.29498 56.21674 54.32563
#> [2425] 36.58865 56.28211 60.46978 51.04347 45.96151 54.14437 62.20538 60.07614
#> [2433] 57.94237 41.18294 51.65524 54.24499 45.14589 35.05926 45.45621 50.61348
#> [2441] 47.52542 57.18819 51.88694 47.76933 55.96706 49.57300 51.46634 58.38986
#> [2449] 51.40221 50.98070 55.59204 48.83792 40.83785 53.55097 57.44737 50.53686
#> [2457] 48.80929 48.80892 52.46713 39.22863 46.22525 39.01510 52.40323 41.22642
#> [2465] 54.25500 39.56659 22.13689 49.67447 30.50382 49.37848 47.07854 43.26104
#> [2473] 56.78563 48.85312 49.82662 47.70935 46.64923 38.00184 29.91701 34.81810
#> [2481] 46.45483 33.96964 46.67156 49.80070 62.75505 46.44835 45.88093 49.11489
#> [2489] 33.72785 46.93235 47.57488 50.57000 59.26320 43.27040 49.96011 50.43388
#> [2497] 53.77646 36.41100 47.31414 47.22965 58.84107 52.76278 53.16480 46.42065
#> [2505] 51.14176 59.47501 45.06444 55.14865 46.65005 52.97502 29.84742 44.11450
#> [2513] 54.88685 50.00590 49.66092 45.35320 45.37484 41.36231 44.72390 54.89941
#> [2521] 51.92018 43.31067 52.94840 44.00367 39.16059 53.95136 54.84235 53.86387
#> [2529] 52.01918 45.81902 56.27310 52.28197 39.85009 51.40002 51.25126 49.29496
#> [2537] 50.41448 54.82925 58.50361 56.43735 45.32648 46.40688 52.11967 53.90903
#> [2545] 34.71575 40.53810 42.47141 50.18398 45.33284 53.75100 45.95722 51.98250
#> [2553] 54.02970 55.81866 56.17874 57.62545 48.10686 43.42925 54.07480 44.47862
#> [2561] 52.01448 50.39140 63.17349 53.99599 51.99398 40.99146 34.76003 43.15094
#> [2569] 36.84651 49.15535 32.15067 43.17096 49.69635 45.29959 53.28720 49.94196
#> [2577] 49.22174 44.34952 41.53674 50.67101 47.41089 43.61547 44.91065 40.99817
#> [2585] 37.95751 44.40247 40.63891 44.99461 47.82882 49.20498 32.78743 41.71557
#> [2593] 47.33555 34.54755 53.95440 53.10948 48.12810 49.19667 42.10817 45.27636
#> [2601] 50.04313 36.68341 51.10432 39.04860 49.19808 48.00882 59.53997 51.82419
#> [2609] 55.08069 44.79562 55.31864 45.26664 49.66988 55.47387 47.53906 42.06029
#> [2617] 49.14360 41.61614 50.89376 51.74738 44.99530 50.14542 58.34619 40.94806
#> [2625] 43.62235 49.68498 43.07005 49.72971 55.97802 52.59708 44.01983 51.90464
#> [2633] 35.48653 43.01944 44.87871 40.35963 41.02468 43.09299 47.35124 49.28029
#> [2641] 35.76807 47.37319 39.88248 42.50335 28.52744 31.78677 38.51479 37.44595
#> [2649] 33.57893 27.89966 28.05334 34.57333 38.58203 36.84497 51.11514 34.84283
#> [2657] 36.85642 43.12653 32.42449 36.63580 40.28122 49.49937 44.71365 35.56322
#> [2665] 45.26622 45.29304 48.67126 49.82019 40.85491 58.74461 47.66591 49.15568
#> [2673] 53.92694 46.36145 46.39497 49.38354 46.89385 47.43141 43.26699 48.79185
#> [2681] 41.79857 43.84165 48.72289 43.36856 40.59946 56.98721 38.75864 47.67119
#> [2689] 41.16744 43.77363 59.63355 53.32364 57.88986 61.22552 36.03879 48.87863
#> [2697] 45.52661 47.19757 41.27244 51.28304 47.72995 47.72440 49.53879 48.11522
#> [2705] 41.48543 50.05600 50.71767 42.92667 49.05978 41.56642 32.59881 48.90772
#> [2713] 39.72039 45.67405 50.10332 58.82364 41.00900 49.43827 42.65554 36.70474
#> [2721] 50.01183 51.89859 52.08449 41.02402 45.90619 40.56127 49.34347 58.36424
#> [2729] 60.27835 46.37487 37.96367 46.76251 57.68353 34.90374 55.70671 47.25850
#> [2737] 55.61575 51.88240 52.28330 46.27918 45.89608 60.83564 46.24866 43.66777
#> [2745] 66.31692 48.96048 56.74711 52.37055 48.42386 52.79808 49.51371 53.25474
#> [2753] 61.28820 46.75996 41.26150 54.03419 48.75722 40.80107 40.01646 32.15728
#> [2761] 46.59458 31.39746 50.10957 46.13281 42.52968 38.47104 44.82828 47.14985
#> [2769] 47.44368 50.93135 38.58895 41.11056 49.76754 38.13706 42.65373 49.09886
#> [2777] 39.53150 48.47492 46.76277 37.04562 52.52238 39.98169 55.22861 35.51704
#> [2785] 46.73372 49.94170 43.88155 58.68305 50.50536 51.38420 44.34091 45.71242
#> [2793] 34.15302 34.27547 37.16225 50.05206 35.06468 47.63765 47.94569 63.96983
#> [2801] 48.28703 45.04671 47.64451 37.51618 49.60577 44.87009 46.68883 63.10141
#> [2809] 39.36991 55.18885 58.79670 58.47199 62.32493 51.94340 58.30283 46.95421
#> [2817] 55.05630 57.53441 47.19075 49.82306 43.85929 39.71242 47.81860 46.90643
#> [2825] 48.82537 61.86075 52.27298 52.79180 49.52191 41.42542 54.52016 59.46654
#> [2833] 53.14679 59.58737 41.56294 58.03449 55.74320 50.56782 58.37791 55.52470
#> [2841] 55.72372 50.53090 56.83230 45.29332 40.94202 45.11680 48.14333 37.49092
#> [2849] 52.58648 58.58443 62.71497 52.31356 51.78360 53.20045 37.08008 58.41454
#> [2857] 54.37865 51.22216 65.13419 50.46357 45.09629 43.76102 54.91283 38.22635
#> [2865] 52.89460 47.45085 39.35001 44.68874 49.93491 46.79763 58.01817 51.57160
#> [2873] 43.95562 45.41699 65.33856 44.70928 45.13723 46.41282 48.68030 58.12431
#> [2881] 44.49871 51.16672 61.74790 45.66798 44.03639 47.17303 36.94025 43.39985
#> [2889] 41.18766 44.82209 51.95167 43.44569 44.68395 42.39349 51.53880 38.91268
#> [2897] 38.75003 56.79904 46.17910 58.18438 51.38985 49.06545 38.69681 42.94133
#> [2905] 52.56767 52.46096 48.00345 52.16348 39.97249 56.99622 51.55474 45.25874
#> [2913] 43.96045 48.28225 48.42767 55.76424 53.67093 44.87603 49.28206 64.02668
#> [2921] 43.76998 46.72801 47.48356 47.93991 54.81410 45.85119 50.28049 51.80880
#> [2929] 44.42647 42.63645 47.53115 48.36894 50.94168 49.19920 50.73491 49.44467
#> [2937] 49.06013 49.73548 40.12680 49.07934 33.94973 33.76147 53.36660 48.17967
#> [2945] 47.17727 57.20669 47.42064 58.89101 40.70730 42.79656 50.17094 45.04408
#> [2953] 43.82300 46.88776 52.61637 45.20613 51.60151 53.59729 45.01194 48.20397
#> [2961] 49.16426 38.03998 46.00344 52.80803 43.96141 54.83634 51.24711 56.19294
#> [2969] 49.10909 45.62440 42.42069 44.59836 41.08982 47.91232 39.58086 41.67818
#> [2977] 41.43001 42.48456 48.67334 52.64789 45.39204 45.14213 47.96145 36.92762
#> [2985] 42.48665 51.82274 50.07019 49.07872 45.32660 44.34417 52.27594 38.37588
#> [2993] 38.65589 40.64777 41.20642 47.56646 38.72903 52.81908 39.81130 47.43439
#> [3001] 46.14692 44.31597 51.12896 34.18593 52.05585 53.84400 41.27623 45.59753
#> [3009] 43.41917 34.88412 51.37262 37.31948 43.75387 38.88712 60.81687 43.25857
#> [3017] 41.98923 50.80815 44.15467 50.48178 52.13802 50.10463 49.33051 46.40503
#> [3025] 43.24312 43.28053 48.08496 43.70573 43.03841 48.29104 53.54828 46.27981
#> [3033] 35.92993 47.91007 32.96318 45.88886 49.04246 41.58301 57.70725 40.92140
#> [3041] 28.42769 37.01819 36.21917 39.38319 34.61121 58.43482 39.54348 53.12480
#> [3049] 42.81789 32.67836 44.82018 33.24145 48.47701 54.54293 46.67210 32.90141
#> [3057] 27.09013 37.76974 37.81478 62.83268 36.39105 41.99077 44.00034 28.49773
#> [3065] 46.16450 45.77584 54.08592 46.26124 43.73624 42.12345 34.18077 32.79990
#> [3073] 60.82135 44.43401 51.28964 53.44481 35.72934 42.09057 49.57081 51.29191
#> [3081] 53.22749 49.19515 44.59756 49.06607 61.04843 44.28376 39.58869 50.03289
#> [3089] 33.21310 50.00592 52.30768 50.61077 50.57950 45.65636 28.27630 54.53967
#> [3097] 32.23749 54.01001 42.33992 35.90204 49.46733 46.15858 46.75352 49.20619
#> [3105] 45.66189 58.75833 40.55544 56.79795 47.63152 43.48880 48.53415 42.02605
#> [3113] 47.52975 57.54930 45.07535 44.67575 63.07573 58.98895 54.13216 65.95339
#> [3121] 58.22142 60.22699 57.18430 55.35123 46.05523 32.86602 35.68503 58.88218
#> [3129] 41.30427 56.27882 42.75054 40.94218 55.16755 41.82220 52.94196 55.31151
#> [3137] 51.91505 51.92709 44.55306 41.05698 59.53726 37.34630 53.12994 52.46660
#> [3145] 33.77399 49.60241 48.51376 41.83370 50.61966 42.26726 47.40429 49.17762
#> [3153] 46.94779 54.58645 52.34251 52.40444 42.40128 62.07383 48.59218 56.20987
#>
#> $mod1_unimodal$ref_properties$cell$knn_hubness
#> [1] 0 5 2 1 5 1 11 10 1 1 9 1 4 0 1 0 0 1 1 5 11 0 3 1 2
#> [26] 2 6 0 18 0 3 0 4 1 2 2 8 3 7 4 1 4 4 3 3 2 2 27 4 8
#> [51] 2 9 4 1 1 0 5 1 4 7 6 3 5 4 5 11 7 5 4 3 1 9 1 5 9
#> [76] 3 2 0 2 7
#>
#> $mod1_unimodal$ref_properties$cell$prop_outliers_cell
#> [1] 0
#>
#>
#> $mod1_unimodal$ref_properties$feature
#> $mod1_unimodal$ref_properties$feature$mean_expression
#> [1] 12.862039 12.220038 11.290137 11.942478 13.316057 12.340675 12.231143
#> [8] 12.639862 13.452811 12.638611 13.079575 12.410667 9.306157 11.662829
#> [15] 11.914306 12.276579 11.181936 8.945510 9.645397 12.577307 9.609804
#> [22] 9.996135 10.585018 12.255251 12.132763 12.173704 11.179566 10.325577
#> [29] 11.351419 10.640077 11.390373 11.800145 11.515839 10.069515 11.138959
#> [36] 9.605871 10.896118 11.107756 8.877162 11.887138 11.568087 10.816459
#> [43] 12.435335 9.965387 9.459759 11.142859 10.461643 12.358673 11.217901
#> [50] 12.251147 11.714935 10.467915 12.358032 11.977190 11.451387 11.305978
#> [57] 11.932945 11.332935 8.062381 11.256280
#>
#> $mod1_unimodal$ref_properties$feature$variance
#> [1] 20.17357 20.55967 33.62462 24.57170 13.88677 20.81701 25.41493 16.92489
#> [9] 11.91160 19.45229 15.63600 24.07219 40.93384 32.59825 26.52592 20.28092
#> [17] 30.16775 39.64102 34.56522 19.22258 38.68067 34.67953 36.33711 22.93984
#> [25] 25.33686 20.27472 30.35738 30.10723 31.04307 34.35202 28.99541 26.15281
#> [33] 29.41980 35.23599 32.45479 36.26078 30.85527 29.90967 39.10881 26.29925
#> [41] 27.57009 30.55304 18.53221 34.62153 39.56805 30.18403 32.99389 20.90096
#> [49] 30.66678 23.37569 28.17614 35.57424 23.77448 26.80421 26.91426 31.03658
#> [57] 26.81005 33.67446 40.06448 26.16351
#>
#> $mod1_unimodal$ref_properties$feature$sd
#> [1] 4.491500 4.534278 5.798674 4.956985 3.726496 4.562566 5.041322 4.113987
#> [9] 3.451318 4.410475 3.954238 4.906342 6.397956 5.709487 5.150332 4.503435
#> [17] 5.492518 6.296111 5.879220 4.384356 6.219378 5.888933 6.028027 4.789555
#> [25] 5.033573 4.502746 5.509753 5.487006 5.571631 5.861059 5.384739 5.113981
#> [33] 5.424002 5.935991 5.696910 6.021693 5.554752 5.468973 6.253703 5.128280
#> [41] 5.250723 5.527480 4.304905 5.884006 6.290314 5.494000 5.744031 4.571756
#> [49] 5.537760 4.834842 5.308120 5.964415 4.875908 5.177278 5.187896 5.571049
#> [57] 5.177842 5.802970 6.329651 5.115028
#>
#> $mod1_unimodal$ref_properties$feature$cv
#> [1] 106.80192 94.47199 134.40497 106.94000 102.43863 88.44417 88.44609
#> [8] 85.71559 105.69305 93.87292 92.19436 113.22554 160.03210 96.71457
#> [15] 101.15520 82.28975 93.43986 118.47808 128.53677 94.28025 122.32675
#> [22] 110.93329 90.03075 102.75258 109.39111 95.24258 113.28536 115.51572
#> [29] 86.23895 100.38950 109.14360 101.04325 93.49135 115.03561 111.67178
#> [36] 104.82284 93.40967 112.37991 114.20099 89.39993 94.94627 94.39124
#> [43] 83.16354 115.72165 111.54921 111.91075 90.03886 90.64175 106.99082
#> [50] 103.72842 93.82192 106.72478 91.46087 89.93028 111.33267 98.49431
#> [57] 94.82855 95.98240 114.70480 105.67711
#>
#> $mod1_unimodal$ref_properties$feature$zero_fraction_feature
#> [1] 0.1000 0.1125 0.2000 0.1375 0.0625 0.1125 0.1375 0.0875 0.0500 0.1000
#> [11] 0.0750 0.1250 0.3125 0.1875 0.1500 0.1125 0.1875 0.3250 0.2625 0.1000
#> [21] 0.2875 0.2500 0.2375 0.1250 0.1375 0.1125 0.1875 0.2125 0.1875 0.2250
#> [31] 0.1750 0.1500 0.1750 0.2500 0.2000 0.2750 0.2000 0.1875 0.3250 0.1500
#> [41] 0.1625 0.2000 0.1000 0.2500 0.3000 0.1875 0.2250 0.1125 0.1875 0.1250
#> [51] 0.1625 0.2375 0.1250 0.1500 0.1625 0.1875 0.1500 0.2000 0.3750 0.1625
#>
#> $mod1_unimodal$ref_properties$feature$detection_freq_feature
#> [1] 0.9000 0.8875 0.8000 0.8625 0.9375 0.8875 0.8625 0.9125 0.9500 0.9000
#> [11] 0.9250 0.8750 0.6875 0.8125 0.8500 0.8875 0.8125 0.6750 0.7375 0.9000
#> [21] 0.7125 0.7500 0.7625 0.8750 0.8625 0.8875 0.8125 0.7875 0.8125 0.7750
#> [31] 0.8250 0.8500 0.8250 0.7500 0.8000 0.7250 0.8000 0.8125 0.6750 0.8500
#> [41] 0.8375 0.8000 0.9000 0.7500 0.7000 0.8125 0.7750 0.8875 0.8125 0.8750
#> [51] 0.8375 0.7625 0.8750 0.8500 0.8375 0.8125 0.8500 0.8000 0.6250 0.8375
#>
#> $mod1_unimodal$ref_properties$feature$dispersion
#> [1] 7.799297 3.993918 10.071068 5.603720 7.516093 3.637403 4.370940
#> [8] 3.499086 8.420157 4.967835 5.323000 8.413140 8.355352 5.179615
#> [15] 5.052235 2.818679 3.208645 2.982874 3.841296 4.688824 4.189873
#> [22] 3.199611 3.049708 5.424220 6.686235 3.764526 5.101345 3.202532
#> [29] 3.170088 3.602903 4.988286 4.645431 3.736620 3.837625 5.424705
#> [36] 2.595874 2.824837 4.814899 2.592071 3.656499 3.876361 2.739734
#> [43] 2.965310 3.632445 3.390779 4.790436 2.340895 3.974455 4.721903
#> [50] 5.890873 4.181213 3.901136 4.830840 4.104384 4.896010 4.219991
#> [57] 4.552430 4.640858 1.957132 3.810961
#>
#> $mod1_unimodal$ref_properties$feature$bcv
#> [1] 0.9972024 0.8179438 1.2755773 0.9692960 0.9538088 0.7531158 0.7767240
#> [8] 0.7243912 0.9921855 0.8389451 0.8308425 1.0628365 1.5015039 0.8687830
#> [15] 0.9059282 0.6609992 0.7752367 0.9659799 1.1054694 0.8362434 1.0673521
#> [22] 0.9197848 0.7380873 0.9279882 1.0087966 0.8161807 1.0157682 0.9579778
#> [29] 0.7135205 0.8532789 0.9759235 0.8950941 0.8000906 0.9891873 1.0085503
#> [36] 0.8218895 0.7507705 1.0003146 0.8950094 0.7620075 0.8178761 0.7521751
#> [43] 0.6770386 0.9851328 0.9366697 0.9954716 0.6814539 0.7841392 0.9498839
#> [50] 0.9451509 0.8183697 0.9203516 0.8144624 0.7821133 0.9931423 0.8603650
#> [57] 0.8376841 0.8501476 0.8021535 0.9075929
#>
#> $mod1_unimodal$ref_properties$feature$gene_cor
#> [1] 1.165479e-01 -4.466283e-02 -4.305952e-02 5.510029e-03 6.136618e-02
#> [6] -2.708937e-01 -1.151011e-01 1.573380e-01 -1.160835e-01 -2.345642e-04
#> [11] -1.578053e-01 -3.922623e-02 -8.842931e-02 -9.493410e-02 -5.876795e-03
#> [16] -7.699883e-02 -1.020776e-01 -1.807130e-01 2.980437e-02 -1.084929e-02
#> [21] -9.984687e-02 -3.074126e-03 -4.559209e-02 -8.048548e-02 -1.377085e-01
#> [26] 2.698579e-02 -6.942772e-03 1.471521e-01 9.996405e-03 1.155636e-01
#> [31] 2.329461e-02 -4.099895e-02 -1.153111e-01 -5.521158e-02 1.527621e-01
#> [36] 8.163119e-02 2.005559e-01 7.856645e-02 1.341374e-01 5.597908e-02
#> [41] -7.441323e-02 -1.417602e-01 -2.952198e-02 -1.070693e-01 -9.771086e-02
#> [46] -1.639368e-01 -1.421822e-01 -1.499075e-01 9.801820e-02 7.924901e-02
#> [51] -9.115419e-02 -7.524190e-02 7.022695e-03 -1.313507e-01 -1.539094e-01
#> [56] -4.558309e-03 -9.441596e-02 5.703230e-02 -2.110884e-02 -1.676752e-02
#> [61] 2.131429e-01 -3.952735e-02 1.256085e-01 5.651109e-02 -1.059875e-01
#> [66] -1.386723e-01 4.494135e-02 9.569126e-02 -2.203890e-01 1.249238e-01
#> [71] -5.866814e-02 -2.655910e-01 -6.553552e-02 -2.182685e-02 1.080447e-01
#> [76] -1.900018e-01 2.075360e-01 -5.485986e-03 -1.201882e-01 -2.739235e-02
#> [81] 1.814787e-01 1.189319e-01 1.591090e-01 -9.989263e-02 -6.699430e-02
#> [86] -1.771297e-01 -2.072055e-02 1.149498e-01 3.063352e-02 7.604076e-02
#> [91] -9.306308e-02 -2.769807e-02 -1.602871e-01 -5.794838e-02 1.275944e-01
#> [96] -3.257220e-02 1.113319e-01 -7.872929e-02 -1.127296e-01 -1.552363e-01
#> [101] 1.593381e-02 -1.545007e-01 -2.649819e-01 -1.692872e-01 -1.706113e-01
#> [106] -2.913737e-02 -1.592336e-01 4.381229e-02 -8.045553e-02 -1.539292e-01
#> [111] -2.860901e-02 2.934001e-02 6.086181e-02 -2.647766e-02 5.724275e-02
#> [116] 5.232794e-02 -7.610821e-02 -1.277513e-01 -1.244528e-02 7.132878e-02
#> [121] -8.636157e-02 -2.071484e-02 1.705737e-02 -1.492090e-01 4.536463e-02
#> [126] -5.585391e-02 6.899835e-02 -1.232959e-01 6.603253e-02 -1.184759e-02
#> [131] -1.743025e-01 2.314804e-02 -4.022468e-02 -2.785456e-02 4.050408e-02
#> [136] -9.934190e-02 2.171804e-01 -2.045169e-01 -1.941796e-02 -6.913283e-02
#> [141] 2.086559e-01 -8.676395e-02 1.737260e-02 -1.486531e-01 -1.354318e-01
#> [146] 2.289960e-03 1.861098e-02 -2.247132e-01 -7.914037e-02 1.248409e-01
#> [151] 9.530066e-02 -4.147217e-02 1.561834e-01 -6.065093e-02 1.694048e-01
#> [156] -1.178343e-01 8.508711e-02 -2.754444e-02 6.139004e-03 -9.686867e-03
#> [161] -4.199913e-02 5.175418e-02 -4.930831e-02 8.754921e-02 7.258283e-02
#> [166] 6.757617e-02 1.288341e-01 -1.130419e-02 -3.259298e-01 4.841093e-02
#> [171] -1.466936e-01 -5.688797e-03 -2.015105e-02 1.250412e-02 2.702452e-02
#> [176] -9.710107e-02 -6.371636e-03 -1.223198e-01 -7.802146e-02 8.830279e-02
#> [181] -7.303914e-02 2.627142e-02 1.857780e-01 1.878457e-01 2.069919e-02
#> [186] -2.481390e-03 -7.946395e-02 9.623287e-02 -1.217706e-01 -1.146523e-01
#> [191] 5.247283e-02 1.441803e-01 -8.932047e-02 2.852735e-02 -1.008476e-01
#> [196] -1.361606e-01 -1.759075e-02 -1.406764e-01 1.179209e-01 5.597716e-02
#> [201] -6.280777e-02 -7.682682e-02 -2.816082e-02 6.724811e-03 1.345411e-01
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#> [1036] 1.917083e-02 -2.842784e-02 -4.342506e-02 9.037678e-02 -5.048177e-02
#> [1041] -3.058991e-02 3.717159e-02 -1.411122e-01 1.066801e-01 4.649757e-02
#> [1046] -1.055353e-02 -1.348852e-02 -9.731703e-02 4.793558e-02 -2.119511e-01
#> [1051] 1.199473e-02 -1.158612e-01 -6.124406e-02 -1.532452e-01 1.703300e-01
#> [1056] 1.642595e-01 -8.931148e-02 -4.240963e-02 9.530293e-02 -1.129314e-03
#> [1061] 1.266759e-02 -9.603365e-02 5.830467e-02 -2.262409e-02 1.065031e-01
#> [1066] -8.611647e-02 -1.729361e-01 9.009811e-02 7.471964e-02 5.825098e-02
#> [1071] 4.249454e-04 -1.334125e-01 -4.671513e-02 -2.630345e-01 1.331710e-01
#> [1076] -5.392390e-03 -5.428213e-02 1.938564e-02 -5.818909e-03 2.809219e-02
#> [1081] 8.410579e-02 4.196451e-02 4.830873e-02 9.672690e-02 1.162585e-02
#> [1086] -1.507528e-02 1.373717e-01 -1.201120e-01 6.938204e-02 6.911602e-02
#> [1091] 1.317012e-01 2.263254e-02 1.188963e-01 2.502346e-02 -1.057328e-01
#> [1096] -2.581370e-02 1.235097e-03 -1.882112e-01 -1.328556e-01 -4.078286e-02
#> [1101] 5.969230e-02 -4.078269e-02 -4.949430e-02 -2.027018e-02 1.480931e-02
#> [1106] -1.081276e-01 -2.224181e-01 2.276572e-02 -6.186949e-02 9.841463e-02
#> [1111] -1.364965e-01 -1.746667e-01 -1.634958e-02 7.091826e-02 4.129792e-03
#> [1116] -3.576413e-02 -7.193198e-02 -1.135566e-01 -3.446101e-02 1.189597e-01
#> [1121] 9.667834e-02 3.869484e-02 2.204974e-01 7.336888e-02 -7.289224e-02
#> [1126] -1.442422e-01 -2.368490e-02 -1.175513e-01 -1.992322e-01 -5.800522e-02
#> [1131] -1.138499e-01 1.203649e-01 1.048894e-01 -3.328003e-02 -1.023005e-01
#> [1136] -5.495019e-02 -1.826433e-02 -6.048503e-02 3.626076e-02 -1.891947e-04
#> [1141] 1.242013e-04 4.992136e-02 1.123551e-01 -2.310651e-02 1.758631e-01
#> [1146] 5.100052e-04 1.806033e-01 -4.664653e-02 -1.585405e-01 -6.190229e-02
#> [1151] -5.556878e-02 -8.069609e-02 1.932067e-01 6.791343e-02 6.230716e-02
#> [1156] 1.741955e-02 5.292033e-02 -1.389093e-02 -1.035419e-01 -9.084531e-02
#> [1161] 2.114202e-01 -1.915454e-01 -1.539548e-01 1.406150e-01 4.037342e-02
#> [1166] 1.019768e-01 2.481848e-02 -2.636103e-01 2.765955e-01 -1.293064e-01
#> [1171] 2.474995e-02 -5.216863e-02 -3.727103e-01 5.933815e-02 -1.077223e-01
#> [1176] -5.853252e-02 5.547056e-02 9.710274e-02 1.784053e-04 1.086528e-01
#> [1181] 6.383836e-02 -1.885104e-01 6.342151e-02 5.066710e-02 -3.902414e-02
#> [1186] 1.398924e-01 -1.016785e-01 4.646781e-02 5.681070e-02 -7.736319e-02
#> [1191] 2.814808e-02 -3.331661e-01 2.509784e-02 -5.644492e-02 1.005737e-01
#> [1196] -4.826291e-02 -3.069944e-01 9.659863e-02 9.438345e-03 3.904202e-03
#> [1201] 1.083645e-01 -1.144915e-01 -6.525369e-03 2.454237e-01 -5.434291e-02
#> [1206] 3.713484e-03 -2.051894e-01 -4.549375e-02 5.350745e-02 2.540513e-02
#> [1211] 1.896860e-02 -4.834691e-02 -7.044659e-02 3.732529e-02 -5.482540e-02
#> [1216] -1.740574e-01 1.078776e-01 2.935899e-01 5.491179e-02 2.705570e-02
#> [1221] -2.149929e-01 5.679127e-02 -1.719590e-01 7.996255e-02 2.367993e-01
#> [1226] -5.875025e-02 1.398907e-02 3.774680e-02 4.365871e-02 1.286859e-01
#> [1231] -1.474539e-01 1.530243e-01 -1.544915e-01 -1.742534e-01 6.270679e-02
#> [1236] 2.794036e-02 -1.533109e-01 -1.790680e-01 2.880243e-02 8.744543e-02
#> [1241] -5.178637e-02 1.008399e-01 4.019424e-02 -1.048702e-01 -1.274536e-01
#> [1246] 2.227847e-02 -1.143069e-01 -6.349991e-02 1.142051e-01 1.143393e-01
#> [1251] 8.493069e-02 -1.129779e-01 3.382753e-02 1.249078e-01 3.249723e-01
#> [1256] -4.235048e-02 -2.001977e-04 9.674737e-02 4.736293e-02 -2.330761e-01
#> [1261] -3.046024e-01 -8.738548e-02 -1.253783e-01 -1.197653e-01 2.957077e-02
#> [1266] 1.761310e-02 -7.783404e-02 2.719775e-03 -5.438801e-02 -7.596826e-02
#> [1271] 7.287751e-02 1.520783e-01 -1.577467e-02 -2.729153e-02 -1.705954e-02
#> [1276] 7.949768e-02 -1.315161e-01 1.639787e-01 -8.377784e-02 -1.567462e-01
#> [1281] -9.830056e-03 -2.296527e-01 -6.302227e-02 -1.834880e-01 -4.722353e-02
#> [1286] 1.053838e-01 1.475604e-01 7.370173e-02 -4.091423e-02 1.484533e-02
#> [1291] 7.505071e-02 -1.186713e-02 -2.434451e-03 -1.507537e-01 4.577462e-02
#> [1296] 2.194230e-02 -1.755077e-01 -1.011816e-02 7.981765e-02 -1.315254e-01
#> [1301] -2.598287e-01 5.112403e-02 2.283285e-01 1.022226e-01 1.028878e-02
#> [1306] -6.373820e-02 1.932921e-01 4.447560e-02 1.631771e-01 1.412740e-01
#> [1311] 1.248465e-01 4.289056e-02 -8.425410e-02 3.236120e-02 2.891242e-02
#> [1316] -8.068707e-02 1.424518e-02 1.955601e-02 -2.504403e-01 1.558274e-01
#> [1321] 3.066972e-02 1.163172e-01 1.588345e-01 5.584006e-02 4.570301e-02
#> [1326] -1.523806e-01 9.021489e-02 -1.260323e-01 -1.138006e-01 1.806030e-02
#> [1331] 7.565788e-02 -1.602042e-01 -7.123950e-02 2.097319e-02 -8.215662e-02
#> [1336] 4.561752e-02 1.726670e-01 -6.141661e-02 1.082934e-01 -1.073225e-02
#> [1341] -2.098773e-02 -1.589392e-01 -1.530813e-01 1.531159e-01 -1.230542e-02
#> [1346] -7.538227e-03 4.422715e-02 -1.381012e-01 -4.752796e-02 1.925135e-01
#> [1351] 1.415703e-01 -1.625304e-01 -6.794634e-02 -1.605065e-01 -8.437628e-02
#> [1356] -1.108120e-01 -2.230291e-02 2.914308e-01 7.443191e-02 5.173058e-02
#> [1361] -2.603429e-01 -1.146820e-01 6.444216e-02 -9.746858e-02 -1.113125e-01
#> [1366] -1.404501e-02 -1.851067e-01 1.123579e-01 -1.331226e-01 -9.358122e-02
#> [1371] 5.640833e-02 -1.347628e-01 -4.994273e-02 -1.951089e-03 -3.806722e-02
#> [1376] 3.447120e-02 5.724413e-02 -4.149922e-02 -9.952513e-02 -1.652219e-01
#> [1381] 1.044143e-02 -2.114595e-01 -1.518242e-01 -5.271489e-02 -9.346881e-02
#> [1386] 1.772796e-01 7.544006e-02 -1.943983e-01 2.333521e-01 2.692020e-01
#> [1391] -5.460158e-02 -9.322069e-02 -3.109810e-01 1.527048e-02 -6.698630e-02
#> [1396] -7.434852e-02 1.664663e-02 6.387016e-02 -8.249527e-02 7.179927e-02
#> [1401] 1.012397e-01 -1.654466e-01 1.267453e-01 -1.182566e-01 -1.307949e-01
#> [1406] 1.464682e-01 1.734470e-01 8.898780e-02 2.437623e-01 7.855693e-03
#> [1411] 2.562971e-02 9.573185e-03 1.856418e-01 5.831913e-02 7.161483e-02
#> [1416] -1.143788e-02 -2.476529e-01 -1.103685e-01 1.440730e-01 -3.342727e-02
#> [1421] -7.251283e-02 2.127530e-02 -8.115681e-02 1.926080e-01 1.774946e-01
#> [1426] -1.554586e-01 2.601013e-02 1.115441e-01 -9.985012e-02 2.089246e-01
#> [1431] -1.142794e-02 -2.155463e-03 -4.238577e-02 6.429090e-02 -1.314541e-01
#> [1436] 4.932470e-02 -8.276731e-02 5.825110e-02 6.038288e-02 -1.688657e-01
#> [1441] -1.865300e-02 -1.279916e-01 -1.008466e-01 -1.547207e-02 -4.671955e-02
#> [1446] 3.037518e-01 -5.102149e-03 -1.439303e-02 1.549427e-01 -7.145647e-02
#> [1451] -2.126099e-01 -4.656933e-02 1.975654e-02 -1.924720e-02 -7.834157e-02
#> [1456] 6.785937e-02 4.893689e-02 1.550524e-01 7.456381e-02 4.164038e-02
#> [1461] -6.847542e-02 5.102276e-02 -3.710217e-02 1.092604e-01 -1.256414e-01
#> [1466] -1.007469e-01 -1.250013e-02 2.025288e-01 -2.066691e-02 1.201939e-01
#> [1471] -9.605301e-02 2.510454e-02 1.807522e-02 -3.893278e-02 9.537044e-02
#> [1476] -9.904207e-02 -6.381242e-02 -3.447305e-01 -4.889392e-02 2.934721e-01
#> [1481] 1.107268e-01 1.345706e-01 4.008285e-02 -2.908885e-03 -5.799915e-02
#> [1486] 5.286230e-02 2.262926e-02 -3.817742e-02 1.448358e-02 -1.153617e-01
#> [1491] -1.336612e-01 5.825051e-02 1.624620e-01 -3.678155e-03 8.473352e-02
#> [1496] -5.273775e-02 -1.160406e-01 1.418822e-01 -2.669698e-02 8.991584e-03
#> [1501] 7.510334e-02 1.052328e-01 -7.599959e-02 -5.081494e-02 -1.509163e-01
#> [1506] -6.159537e-02 2.476224e-02 -3.083624e-02 1.764982e-01 3.041921e-02
#> [1511] 2.202163e-02 -9.378032e-02 1.265123e-01 7.391792e-04 9.448539e-02
#> [1516] -1.433898e-01 -1.558090e-01 -2.427115e-01 5.792383e-02 9.856947e-02
#> [1521] -1.237695e-01 -1.963700e-01 -4.364780e-03 6.180684e-02 -5.583711e-02
#> [1526] -5.175461e-02 3.212842e-03 5.007793e-02 1.237644e-01 4.101028e-02
#> [1531] -5.326368e-02 -8.253973e-03 -1.059788e-01 -1.412484e-01 3.657370e-02
#> [1536] 9.709103e-02 -1.912148e-01 -2.125636e-01 -1.084275e-01 9.552975e-03
#> [1541] -1.398063e-01 -3.640459e-02 -8.914200e-02 2.078792e-01 2.032519e-01
#> [1546] 4.231926e-02 -1.107075e-02 -8.640799e-02 -1.091232e-01 1.260510e-01
#> [1551] 5.131321e-02 9.051936e-02 -1.358313e-01 4.799234e-02 -5.475406e-02
#> [1556] 1.326552e-01 -1.090257e-01 -8.869870e-02 -2.011761e-01 4.247283e-03
#> [1561] -1.447114e-01 4.227616e-02 -1.675616e-02 1.698835e-01 1.455855e-01
#> [1566] -2.144949e-01 -1.168097e-01 -1.055732e-02 8.067266e-02 -5.857673e-03
#> [1571] 6.786284e-02 1.102699e-01 7.191901e-02 -8.428307e-02 3.605551e-02
#> [1576] 8.866196e-02 -4.287362e-02 -4.281463e-02 -2.145115e-01 -2.826756e-01
#> [1581] 3.136460e-02 1.030898e-01 7.869522e-02 -9.749341e-02 9.876256e-02
#> [1586] 2.217943e-01 1.446468e-01 3.143589e-03 5.710788e-02 -2.542822e-02
#> [1591] -5.349887e-02 7.405415e-02 1.092856e-01 6.225944e-02 -7.616404e-03
#> [1596] -2.541887e-01 -1.147255e-02 3.515335e-02 -1.204825e-01 6.487002e-02
#> [1601] -6.895794e-02 -6.168394e-02 2.527559e-02 1.990653e-02 3.443641e-01
#> [1606] 1.069038e-01 1.004806e-02 -4.093868e-02 2.627586e-02 -7.382326e-02
#> [1611] -1.499246e-01 1.188662e-01 1.416086e-02 -1.306692e-01 -4.592146e-02
#> [1616] -4.847261e-02 1.865333e-01 5.111020e-02 4.055895e-02 -7.423709e-02
#> [1621] -1.573546e-01 -1.839706e-01 -8.974954e-02 -1.124631e-01 1.049444e-01
#> [1626] 5.083257e-02 -1.316121e-02 -3.091905e-02 -5.673464e-02 7.817003e-02
#> [1631] -2.981131e-02 3.571782e-02 -3.291512e-02 -1.803129e-01 -7.138460e-02
#> [1636] 8.109310e-02 1.141195e-01 -1.233709e-01 1.100343e-02 2.221686e-02
#> [1641] 7.322816e-02 3.774946e-02 1.344445e-01 1.994253e-02 -4.026732e-02
#> [1646] -2.605049e-01 -1.778825e-01 -9.441685e-02 -1.581544e-01 8.074403e-02
#> [1651] -2.395007e-01 7.180293e-02 -3.805822e-02 2.689779e-02 -1.029842e-02
#> [1656] -3.080348e-01 -4.913997e-02 5.718839e-02 1.003110e-01 1.693378e-02
#> [1661] -9.001733e-03 5.796468e-02 -1.480821e-01 7.670530e-02 8.959790e-03
#> [1666] 1.349502e-01 -1.095124e-01 6.502110e-02 -2.595404e-02 -9.312161e-02
#> [1671] -5.171271e-02 1.981835e-02 9.873647e-02 -1.831473e-02 -7.678288e-02
#> [1676] 1.013947e-01 -1.291342e-01 2.527365e-02 1.257956e-01 2.509152e-01
#> [1681] -1.584036e-01 -1.163422e-01 -1.893735e-01 -1.953208e-01 -7.006808e-02
#> [1686] -5.140613e-02 8.570273e-02 -2.390494e-04 -1.489117e-01 -5.290608e-02
#> [1691] 5.038683e-02 -1.768487e-01 2.513832e-01 -1.539446e-01 -8.453659e-02
#> [1696] 1.740095e-01 -2.484244e-02 9.864678e-03 9.936955e-02 1.461923e-02
#> [1701] 4.578229e-02 -9.137279e-02 -5.849678e-02 -5.739538e-02 -7.757292e-03
#> [1706] -3.352973e-02 -7.247597e-02 -8.047665e-02 1.073828e-01 -2.626529e-01
#> [1711] 2.653464e-02 -1.217606e-01 -5.380440e-04 1.269976e-01 1.156238e-01
#> [1716] -7.415223e-02 -7.057637e-02 -9.382997e-02 1.982323e-02 -9.811327e-02
#> [1721] -5.530877e-02 1.807827e-01 -1.256755e-01 -9.322158e-02 -6.724150e-02
#> [1726] -1.727246e-01 1.873234e-01 -3.293805e-01 3.816417e-02 -8.418827e-02
#> [1731] -1.347772e-01 3.160425e-03 1.001668e-01 6.310030e-02 2.140357e-01
#> [1736] -7.247012e-03 -1.651633e-02 -2.583234e-02 -2.492794e-02 -8.934765e-03
#> [1741] -2.790394e-02 1.029951e-01 -1.537856e-01 -4.576998e-02 1.631377e-01
#> [1746] -1.117880e-01 2.841798e-02 1.451499e-01 8.462463e-02 -2.863458e-02
#> [1751] 3.250996e-02 3.806386e-02 1.624082e-01 8.428094e-03 1.061800e-01
#> [1756] -9.742088e-02 -2.180195e-01 2.458781e-01 1.792709e-02 -3.330550e-02
#> [1761] -4.974843e-02 -5.055770e-02 3.633658e-02 5.816920e-02 8.575853e-02
#> [1766] -5.422917e-02 1.223269e-03 1.245501e-01 -1.563808e-03 -2.476664e-01
#>
#> $mod1_unimodal$ref_properties$feature$prop_outliers_feature
#> [1] 0
#>
#>
#>
#> $mod1_unimodal$sim_properties
#> $mod1_unimodal$sim_properties$cell
#> $mod1_unimodal$sim_properties$cell$library_size
#> [1] 223 201 188 186 209 207 256 279 202 199 217 217 192 210 146 201 259 218 217
#> [20] 265 205 239 211 222 228 252 160 227 251 196 239 215 253 261 177 267 255 194
#> [39] 237 244 232 221 288 322 235 296 237 286 286 211 206 255 330 332 246 258 302
#> [58] 256 231 250 321 294 258 250 246 293 244 325 231 268 263 328 264 251 287 183
#> [77] 261 262 213 239
#>
#> $mod1_unimodal$sim_properties$cell$log_library_size
#> [1] 5.411646 5.308268 5.241747 5.231109 5.347108 5.337538 5.549076 5.634790
#> [9] 5.313206 5.298317 5.384495 5.384495 5.262690 5.351858 4.990433 5.308268
#> [17] 5.560682 5.389072 5.384495 5.583496 5.327876 5.480639 5.356586 5.407172
#> [25] 5.433722 5.533389 5.081404 5.429346 5.529429 5.283204 5.480639 5.375278
#> [33] 5.537334 5.568345 5.181784 5.590987 5.545177 5.273000 5.472271 5.501258
#> [41] 5.451038 5.402677 5.666427 5.777652 5.463832 5.693732 5.472271 5.659482
#> [49] 5.659482 5.356586 5.332719 5.545177 5.802118 5.808142 5.509388 5.556828
#> [57] 5.713733 5.549076 5.446737 5.525453 5.774552 5.686975 5.556828 5.525453
#> [65] 5.509388 5.683580 5.501258 5.786897 5.446737 5.594711 5.575949 5.796058
#> [73] 5.579730 5.529429 5.662960 5.214936 5.568345 5.572154 5.365976 5.480639
#>
#> $mod1_unimodal$sim_properties$cell$tmm_factor
#> [1] 1.2241491 1.1990518 0.9425501 1.0253628 1.2142413 1.0050382 0.9533712
#> [8] 1.2313072 1.0474625 1.0952495 0.7116900 1.2718076 0.8977008 0.9640806
#> [15] 1.4798378 0.9402670 1.0063943 0.9897486 0.9612711 0.8468148 1.0066578
#> [22] 0.9163983 1.3748273 1.2242553 0.9583008 0.9534466 1.2550834 0.8104542
#> [29] 1.0836651 1.0800008 1.1847363 0.9071323 0.9402444 0.8052025 1.1425884
#> [36] 1.2491647 1.0572792 0.8133728 0.7413009 0.9002491 0.7044330 1.1903803
#> [43] 0.8756284 0.9446347 1.2420449 0.9878424 0.8612045 1.3137172 0.8311057
#> [50] 0.7868001 1.2071196 0.8432905 0.8579475 0.7449676 0.8136617 0.9587171
#> [57] 1.0213516 1.0823555 1.3359564 1.0951720 0.9878042 1.0495024 0.9611525
#> [64] 0.7510275 1.0280683 0.7722798 0.9277693 0.7036136 1.3899001 1.2250927
#> [71] 1.4115454 0.7664577 1.7306634 1.0351209 1.0131255 0.9348562 0.8023686
#> [78] 0.8341818 1.0276488 1.0004524
#>
#> $mod1_unimodal$sim_properties$cell$effective_library_size
#> [1] 272.9852 241.0094 177.1994 190.7175 253.7764 208.0429 244.0630 343.5347
#> [9] 211.5874 217.9547 154.4367 275.9823 172.3586 202.4569 216.0563 188.9937
#> [17] 260.6561 215.7652 208.5958 224.4059 206.3649 219.0192 290.0886 271.7847
#> [25] 218.4926 240.2685 200.8134 183.9731 271.9999 211.6802 283.1520 195.0334
#> [33] 237.8818 210.1578 202.2381 333.5270 269.6062 157.7943 175.6883 219.6608
#> [41] 163.4285 263.0740 252.1810 304.1724 291.8806 292.4013 204.1055 375.7231
#> [49] 237.6962 166.0148 248.6666 215.0391 283.1227 247.3292 200.1608 247.3490
#> [57] 308.4482 277.0830 308.6059 273.7930 317.0852 308.5537 247.9773 187.7569
#> [65] 252.9048 226.2780 226.3757 228.6744 321.0669 328.3248 371.2364 251.3981
#> [73] 456.8951 259.8154 290.7670 171.0787 209.4182 218.5556 218.8892 239.1081
#>
#> $mod1_unimodal$sim_properties$cell$zero_fraction_cell
#> [1] 0.1666667 0.2166667 0.1500000 0.2166667 0.2666667 0.1833333 0.1833333
#> [8] 0.1833333 0.2166667 0.2833333 0.1833333 0.2166667 0.1833333 0.1666667
#> [15] 0.2666667 0.2166667 0.2666667 0.1833333 0.2666667 0.1666667 0.2166667
#> [22] 0.1333333 0.1833333 0.2333333 0.2333333 0.2166667 0.3333333 0.1166667
#> [29] 0.1333333 0.2500000 0.1666667 0.1833333 0.2166667 0.1166667 0.2000000
#> [36] 0.1500000 0.1666667 0.1833333 0.1666667 0.2166667 0.2166667 0.2666667
#> [43] 0.2166667 0.1166667 0.2333333 0.2166667 0.1500000 0.2000000 0.2166667
#> [50] 0.1666667 0.1833333 0.1833333 0.1333333 0.1666667 0.1833333 0.2000000
#> [57] 0.2333333 0.2000000 0.2500000 0.2000000 0.2000000 0.1166667 0.1333333
#> [64] 0.1833333 0.1500000 0.1333333 0.1833333 0.1666667 0.2500000 0.1833333
#> [71] 0.2000000 0.1166667 0.2500000 0.2166667 0.2000000 0.1833333 0.1500000
#> [78] 0.2166667 0.2333333 0.1833333
#>
#> $mod1_unimodal$sim_properties$cell$detection_freq_cell
#> [1] 0.8333333 0.7833333 0.8500000 0.7833333 0.7333333 0.8166667 0.8166667
#> [8] 0.8166667 0.7833333 0.7166667 0.8166667 0.7833333 0.8166667 0.8333333
#> [15] 0.7333333 0.7833333 0.7333333 0.8166667 0.7333333 0.8333333 0.7833333
#> [22] 0.8666667 0.8166667 0.7666667 0.7666667 0.7833333 0.6666667 0.8833333
#> [29] 0.8666667 0.7500000 0.8333333 0.8166667 0.7833333 0.8833333 0.8000000
#> [36] 0.8500000 0.8333333 0.8166667 0.8333333 0.7833333 0.7833333 0.7333333
#> [43] 0.7833333 0.8833333 0.7666667 0.7833333 0.8500000 0.8000000 0.7833333
#> [50] 0.8333333 0.8166667 0.8166667 0.8666667 0.8333333 0.8166667 0.8000000
#> [57] 0.7666667 0.8000000 0.7500000 0.8000000 0.8000000 0.8833333 0.8666667
#> [64] 0.8166667 0.8500000 0.8666667 0.8166667 0.8333333 0.7500000 0.8166667
#> [71] 0.8000000 0.8833333 0.7500000 0.7833333 0.8000000 0.8166667 0.8500000
#> [78] 0.7833333 0.7666667 0.8166667
#>
#> $mod1_unimodal$sim_properties$cell$cell_cor
#> [1] 0.1549533566 -0.0198304203 -0.0258113817 0.1128361658 0.1158512527
#> [6] -0.1183800807 0.2092394714 -0.0404089783 -0.1973127648 0.1682957942
#> [11] 0.1522498625 -0.1159468775 -0.1549242927 0.2202216389 0.1638476210
#> [16] 0.0039824945 -0.1366187188 0.0936969298 0.0954442689 0.1502587042
#> [21] -0.0180348086 -0.1469047349 -0.0941205967 0.0313927915 0.0159499616
#> [26] 0.1782355100 -0.0425277267 0.2969591374 0.0100829907 0.0805502342
#> [31] 0.0155274650 0.0139531054 -0.0232672358 0.0792147739 0.0806785161
#> [36] -0.1686707080 0.1165996963 0.1828066172 -0.1735558844 -0.1135997999
#> [41] 0.0977671936 0.1134432623 -0.1957434826 -0.1852552893 0.0880754631
#> [46] 0.1058930794 0.0641066449 0.0652647038 0.1836586714 -0.0849809748
#> [51] 0.1147719244 -0.0197079953 -0.0260440895 0.3452542897 -0.0963281783
#> [56] 0.1037358119 -0.0446622865 0.0888395511 -0.1018596144 0.0120186796
#> [61] 0.1594479140 -0.1492267380 -0.0662460119 0.1353202106 0.0017785670
#> [66] 0.1185023647 0.1086227827 -0.0588433720 -0.0646723636 0.1269078757
#> [71] 0.1730598995 -0.0247255437 -0.0367377847 0.2281443002 0.0652575250
#> [76] 0.0946062362 0.2413679763 0.0914000909 -0.0084578963 -0.1098226733
#> [81] 0.0359958796 0.1143246060 0.0980784869 0.1933100095 0.1066347731
#> [86] 0.4734626459 0.0388843320 -0.1195719060 -0.0562205740 0.0777573253
#> [91] 0.1144801812 0.0377803090 0.0084881830 -0.0340245114 0.0540148919
#> [96] -0.1070349248 -0.0515033123 0.1464625265 0.2058278763 -0.1789211034
#> [101] 0.0477964115 0.0749585101 -0.1022657043 0.1350751288 0.0023967498
#> [106] -0.1772321241 -0.1705197217 0.1623641208 0.0045024762 -0.1073818749
#> [111] 0.0777070180 0.1248953086 0.0961040814 0.1069360838 0.1649716761
#> [116] -0.0292701639 -0.0127821378 0.0831651276 0.0900150756 -0.1200002505
#> [121] 0.0446236342 0.0007838572 0.2484746777 0.0148558020 0.0595137712
#> [126] -0.2456005129 -0.0655864685 0.1279718259 -0.1696288957 -0.0820338414
#> [131] -0.1635097913 0.2693459388 0.2023643548 0.1105540560 -0.1288505548
#> [136] 0.0392622926 -0.0959045671 -0.0192952187 0.1125350758 0.0480843143
#> [141] 0.0381369169 0.3905428049 0.1918408330 0.0414291057 -0.0358192394
#> [146] 0.1970863976 0.1839007741 0.0397485117 -0.0371419454 -0.1143659575
#> [151] -0.0419104400 0.2060661511 -0.0464394891 -0.0452981549 -0.0563388725
#> [156] 0.0248998918 0.2701685629 0.1046340172 0.0230800639 0.0874828729
#> [161] 0.2053174102 0.0185455791 0.0923902478 -0.0393211816 0.1391708978
#> [166] 0.0928616885 0.2102404172 -0.2810405623 0.1035141256 0.3288785784
#> [171] 0.1404637350 0.0723397670 0.0332944474 0.0288713702 -0.0640915134
#> [176] 0.0320953138 -0.0541541296 0.2039899337 0.1437262673 -0.1930908741
#> [181] -0.0319554360 -0.2133909304 0.1583856478 -0.1735968778 -0.1368846526
#> [186] 0.1953084371 0.0429214696 0.0994006239 0.1068811570 0.0182103678
#> [191] 0.0441416264 0.2587860478 -0.0293356108 0.0879208302 0.0039964779
#> [196] 0.0183183118 0.0189373500 0.1732899529 0.2026967723 0.1522415430
#> [201] 0.1383079339 0.0452771931 -0.0855148977 0.1122527123 -0.0331054691
#> [206] 0.2288179135 -0.1107791731 0.1206430910 -0.0401080844 0.0374611923
#> [211] 0.1530150646 0.2165440790 0.1944903182 0.1677731699 0.0112494721
#> [216] -0.1321109923 0.0161644147 -0.0538948531 -0.0085926075 -0.0105698797
#> [221] -0.1250517663 -0.0345930458 -0.0617404615 -0.0066085967 0.2761577802
#> [226] 0.1056753146 0.2028629032 -0.1071950035 0.0879412947 0.1946213744
#> [231] 0.0048109771 0.0176155981 0.0386265336 0.1520121746 0.0356225165
#> [236] 0.0601774920 0.0488484408 0.1383053325 0.0305936011 0.0462237926
#> [241] -0.1061207377 0.0522812173 0.2953802518 0.0984622460 0.2116615291
#> [246] 0.2438969988 0.0668032670 0.1538924604 -0.0580858842 -0.0338040657
#> [251] 0.1659877394 0.2251101581 -0.0258467687 0.0320770566 -0.0289544547
#> [256] -0.1354585993 0.2049701870 0.0215164322 0.1133824677 0.0825639182
#> [261] -0.0318933507 -0.0785330735 -0.0753814855 -0.1000823385 0.2742967273
#> [266] 0.2365836755 0.0023847380 0.0681281793 0.0561441922 0.1487550798
#> [271] 0.0607853120 -0.0284038082 0.0181944887 0.0006113081 -0.0110341770
#> [276] 0.1046940270 -0.1292049307 0.1184128271 -0.1032311220 -0.0149565235
#> [281] -0.0816206586 0.1001486611 -0.1157926667 0.1093410473 0.1427316369
#> [286] 0.1391728276 0.1401459928 0.1699038080 0.1941767696 0.4019793608
#> [291] -0.0844006365 0.2321532211 0.1249026249 -0.1754284276 0.0760531420
#> [296] -0.0857701405 0.0880525790 0.0585997975 0.0360652558 -0.0119157470
#> [301] 0.1119395597 0.1674029735 0.1378297524 0.0316875487 0.0761843247
#> [306] 0.0355698935 0.1226327860 0.0338665697 0.1250606217 0.1263489744
#> [311] -0.1723982541 -0.0438445056 0.0777766743 0.2119157528 -0.0670605183
#> [316] 0.2049945871 0.1793015377 -0.0423017604 0.1764091581 0.0058554804
#> [321] 0.0314873669 0.1269680584 0.2225382411 -0.0369698992 0.0125730983
#> [326] -0.1984756847 0.1691102881 -0.0046836733 0.0480261758 -0.1051549521
#> [331] -0.0676170385 0.0794436301 0.2261767486 -0.1385888136 0.1289637304
#> [336] 0.0219426222 -0.0384720671 0.0709519924 0.0841300267 0.2037709546
#> [341] 0.2625002027 0.1164671772 0.3109112274 0.2684359673 0.1880111822
#> [346] 0.1301710943 0.2139239676 -0.0684822910 -0.0390119310 0.1238886601
#> [351] -0.1385503992 -0.0459653322 -0.1178903713 -0.1355006376 0.0357565860
#> [356] 0.1539142515 0.0053247084 0.2270682201 0.3402724879 -0.1132795481
#> [361] -0.1417698443 -0.1822507538 0.1337691083 0.3132457891 0.2550539088
#> [366] 0.0470125526 0.0981162484 0.3294618160 0.0640491364 -0.0156689084
#> [371] 0.0636418979 -0.0047632225 -0.2250504005 0.2716748927 0.2296502726
#> [376] 0.0940944778 -0.0988070116 0.0300126704 -0.1590362471 0.0756970297
#> [381] 0.0953843292 0.1091238766 -0.1583011870 0.0794090878 -0.1180127906
#> [386] 0.2302442418 -0.2220227186 0.0666931126 -0.1811912306 0.1419228122
#> [391] 0.0492340789 0.0203171017 0.0662332566 0.1845237451 0.2376846565
#> [396] 0.2257146974 0.1204318818 0.1030069090 0.1231239372 0.0338207693
#> [401] -0.0604907179 0.1890427911 0.0849663236 -0.0363626074 0.2602796070
#> [406] 0.1576931939 -0.0663008811 -0.0864062428 -0.1036563728 0.0307347774
#> [411] -0.0476287190 -0.2665297179 0.0553367657 0.0353329679 -0.0797856797
#> [416] 0.0133165720 -0.2463047611 -0.2215480942 -0.0632228667 -0.1970023502
#> [421] -0.2023754279 0.0780784970 0.0443262582 -0.1377501945 0.3529309907
#> [426] 0.1282121613 -0.0949607528 -0.0272106261 -0.2369140597 -0.1784987143
#> [431] -0.0622554597 -0.1918283363 0.0382654337 0.0449544191 -0.0856012925
#> [436] 0.1734136767 -0.0101718855 -0.1395883978 0.2332209746 0.3093308617
#> [441] 0.0363159499 0.1497272722 0.0720192748 -0.0959190595 -0.1354162050
#> [446] -0.0190112267 -0.0590281735 -0.0038595715 -0.0857281108 0.0120000234
#> [451] -0.1926366708 0.0560170105 0.0099713547 0.0418857510 0.2024506268
#> [456] 0.0331793801 0.0622644571 -0.0506249797 0.2170964941 -0.0409773888
#> [461] 0.0534454649 -0.2253272059 0.0669366145 0.0675507230 -0.0632815155
#> [466] 0.0190891609 0.2275374628 0.1262479876 0.0933021161 0.0490492574
#> [471] 0.0424075102 0.1733592264 0.2654841202 -0.0612364754 -0.0291514580
#> [476] -0.0970713516 -0.0690717557 -0.0969767522 0.1869263238 -0.0711551023
#> [481] 0.0441882776 0.1047820710 0.2427664120 0.2433066595 0.1049009282
#> [486] 0.2173536347 0.0364750423 0.1005305861 -0.1897257325 -0.0547385285
#> [491] 0.2206204033 0.1926403778 0.1123611927 0.0788040613 0.1974874338
#> [496] -0.3079604991 0.0743129534 0.2944640354 0.1715151833 0.0502954521
#> [501] -0.0183115060 -0.0330440729 0.0530463036 0.2313819730 -0.1236924761
#> [506] -0.0056581505 -0.1409437082 0.0861215211 0.1199562021 0.1343202946
#> [511] -0.0001424295 -0.1157362502 0.2232835573 0.0333055126 0.1884959629
#> [516] -0.0007635423 0.0785188273 -0.0284625398 0.0444894003 0.0446262585
#> [521] -0.0467535999 0.2586850845 -0.0721511338 0.2838732211 0.1702335380
#> [526] 0.0197477394 -0.2027529927 0.3167503676 -0.0102685197 0.1109099392
#> [531] -0.1521731405 0.1566092082 0.3451499107 0.2136708269 0.0318091455
#> [536] 0.1237545150 -0.0352695834 0.0370962332 -0.0721560252 0.1783083848
#> [541] 0.1260733160 0.1058592080 -0.1196033032 -0.1068753856 0.0749433133
#> [546] 0.0849712610 0.1947286038 0.2166590795 -0.0605465879 0.0425214136
#> [551] 0.1042395166 0.0524330360 0.1035553101 0.2083512796 0.0526788517
#> [556] 0.0691343911 -0.0687761374 0.0350268995 0.1401082730 0.1592764256
#> [561] 0.0197842424 0.0316893994 0.0880342714 -0.0344313795 0.1385871526
#> [566] 0.0652314639 -0.0519835184 0.0248349302 0.1350661364 0.0130836185
#> [571] -0.1320465686 -0.1310753666 0.0055891009 0.1442432269 0.1692759221
#> [576] -0.1290355006 -0.1323470116 0.1421340991 -0.0825121655 0.3549582722
#> [581] -0.1150235139 -0.0582070196 0.1771572730 -0.0189821281 0.1847525435
#> [586] 0.0284624180 0.2800235800 -0.0187468144 0.1457212124 -0.0819354131
#> [591] 0.1193065570 0.2101563648 0.0690521970 0.1562480217 0.0520248722
#> [596] -0.3684735904 -0.1473323151 -0.0947682847 0.1622470914 0.0474106821
#> [601] 0.1912753405 0.2761994740 0.1030031582 0.0938392669 0.0250417391
#> [606] 0.0961319116 0.0789029457 0.1351696410 0.0400273465 0.1687208892
#> [611] 0.0776793712 -0.0555104343 0.2825339930 0.0803876174 0.0365125637
#> [616] 0.0431621544 -0.0911303919 0.0866188729 0.0293495231 0.1724693726
#> [621] -0.1043251358 0.1861520559 0.1665820482 0.3549066611 -0.2664029883
#> [626] -0.0581742860 -0.0630859018 0.1203085210 0.0565598737 -0.1537613142
#> [631] 0.0446600536 0.0489227961 -0.0886764086 -0.0839342170 -0.1550470023
#> [636] -0.1013493322 0.3014910428 -0.0209286192 -0.1184721819 -0.0360592376
#> [641] -0.1481200403 -0.2300883264 -0.0315492935 -0.0651887524 0.0242652950
#> [646] -0.0788342169 0.0430699674 -0.0080205870 -0.0761327227 -0.0950380133
#> [651] -0.2242022294 0.0636353283 -0.2130984826 -0.0276841894 -0.1531845420
#> [656] -0.0282001284 -0.0490351620 0.1787506060 -0.3103531371 0.0442625027
#> [661] -0.2042941216 0.0380982368 0.2582696214 -0.0683071970 0.0643774116
#> [666] -0.0829387632 0.1349823354 0.2360823471 -0.0551264514 -0.1821257558
#> [671] -0.0487557425 -0.0976020770 0.0566575409 -0.1671154670 0.0384523449
#> [676] 0.1385598137 -0.0390415563 0.1826140023 -0.0398109667 -0.0932446950
#> [681] 0.1677240712 -0.1793287082 -0.1539682952 -0.0956007785 0.0723408848
#> [686] 0.1399007587 -0.0912476203 0.1632201710 -0.1072020036 0.0738475457
#> [691] -0.0315730867 0.1650785527 0.1132891742 -0.1709144598 -0.0125264554
#> [696] 0.0767216817 -0.0419591513 0.0753529656 0.1554796267 -0.0461762446
#> [701] 0.0767404073 -0.0886567956 -0.2193796913 0.1149651379 0.1010497425
#> [706] 0.1020742242 -0.0635104662 -0.0275222857 0.0200054320 0.1566583637
#> [711] 0.3305646911 -0.0461175920 -0.2201982196 -0.0003546049 0.0080671491
#> [716] 0.0343860535 0.3240064150 0.1044687210 -0.0282737674 0.1621753133
#> [721] -0.0121180429 0.1453813219 0.0244759622 -0.0242006781 0.2782708753
#> [726] 0.0159279147 -0.0128334362 0.1689638065 0.0380174126 0.0100044784
#> [731] -0.0825868418 0.0794060998 0.0852561860 0.1013765252 0.1571150753
#> [736] 0.0277648347 0.2845496357 0.0665725881 -0.1376200477 0.0536826627
#> [741] -0.1183438136 -0.0560394341 -0.0197580665 -0.0254822516 -0.0795984079
#> [746] -0.1027324720 -0.0031070293 -0.1854980630 -0.1187315401 0.1117674610
#> [751] 0.0057938817 -0.1349711426 0.1171937833 0.0750292429 0.0008815354
#> [756] -0.0587187375 0.0176488194 0.0351611599 -0.0646777422 -0.1526655239
#> [761] 0.0967433386 0.0155500210 -0.0212359907 0.0504383674 0.1033772888
#> [766] -0.0819281753 0.1030136449 -0.1574017142 0.1416122943 -0.1124401808
#> [771] -0.0087163983 -0.1628291287 -0.0332269031 0.2233436557 0.0173931408
#> [776] 0.1410133421 0.0545294530 0.1600558478 -0.0503260902 -0.2089730713
#> [781] 0.0605972857 0.1828734282 0.0561925641 -0.0183604480 -0.0997635372
#> [786] -0.0048770438 0.1068617598 0.0768576475 -0.1350997859 -0.1075826538
#> [791] 0.0352816425 0.1077561415 -0.2610095287 -0.0740399480 0.0364039422
#> [796] -0.1155554369 0.2190562977 0.1146044130 -0.0624137616 0.1900894822
#> [801] 0.0379087572 0.0252348428 0.2367048361 -0.0233705416 -0.0191685560
#> [806] 0.0638650616 -0.1370250267 0.1688012657 0.1761549702 -0.1030506523
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#> [1801] -0.0605979495 0.1678650181 0.1082116824 0.3177449363 0.1884945140
#> [1806] -0.1215435492 0.1913021855 -0.1202947236 0.1359564602 0.0516131088
#> [1811] 0.1822400660 -0.3214557840 0.4440784732 0.2041328764 0.0704069161
#> [1816] 0.1671864002 0.0617878549 -0.1073300924 0.3430714036 0.2215015677
#> [1821] 0.1889609376 -0.0683841521 -0.0660486788 0.1978517424 -0.0487151755
#> [1826] -0.0184819922 0.1633626466 0.1301846670 0.1670052593 0.0485178073
#> [1831] -0.0505738872 0.3019660852 0.1109275670 0.2196527354 -0.1126966823
#> [1836] -0.1301676541 0.0114290596 0.0443698912 -0.2011856182 0.1455224995
#> [1841] -0.1139083297 0.0130970547 0.0070431753 0.1027788770 -0.0119845983
#> [1846] 0.1447586079 0.3736258594 -0.0064332823 0.2301741117 0.1190476381
#> [1851] -0.1464428079 0.3155599416 -0.1319235041 0.1043750870 0.2938867226
#> [1856] 0.0912458179 0.2528854492 0.0352487608 0.2668778726 0.0175403079
#> [1861] -0.0676146942 0.1059769180 0.2295126490 -0.0006209341 -0.1088511259
#> [1866] 0.0654625188 0.0847613400 0.1106726530 0.0285816230 0.0501600866
#> [1871] 0.0195623981 0.2032497007 0.0966059746 -0.0187566194 0.2788240619
#> [1876] 0.3243834941 0.2133204012 0.2885469560 0.0615789047 -0.0256244133
#> [1881] 0.1720293786 -0.0764217761 0.1426725036 0.1493997929 0.0969458510
#> [1886] 0.2848414399 -0.0963760751 0.0918143957 0.1021901126 0.2567814759
#> [1891] 0.0545283156 -0.0246710992 0.0117690230 0.1303939476 0.0933694931
#> [1896] -0.2762379643 0.0478068616 -0.0111701236 -0.1165629535 0.0843179612
#> [1901] -0.1807335216 0.1022050437 0.0912591344 0.0995271990 0.1642467357
#> [1906] -0.1204713401 -0.0003690057 0.0846609665 0.0222307141 0.2543127619
#> [1911] -0.0429771481 -0.0984653017 0.0729696663 0.2344651998 -0.0881183283
#> [1916] 0.0785152312 0.2025040690 0.0640708623 0.0600257442 -0.0804402574
#> [1921] 0.0229023855 -0.3176811881 0.2654436234 0.0998939267 0.1476634096
#> [1926] 0.2398654913 0.0738063561 0.0334470258 -0.0553035153 0.0679777569
#> [1931] 0.0619990782 0.0578698998 -0.0536372985 0.0270927949 0.2421574098
#> [1936] 0.0651401706 0.1350220851 0.2737385201 0.0566902407 0.4363837076
#> [1941] -0.0812460812 0.0913777619 0.0499380075 0.1905363816 0.4064992481
#> [1946] -0.0195491474 -0.0464497453 0.0338498578 0.0813577203 -0.0651632994
#> [1951] -0.0986101063 0.2874048056 0.0423451069 -0.0727136436 -0.1633448312
#> [1956] -0.1368884254 0.0006129589 0.0140111087 0.0289392041 0.0996738595
#> [1961] 0.0214398508 0.0194534651 0.0130749136 0.1919371116 -0.0420101415
#> [1966] 0.5147725107 -0.1031809431 -0.0024374058 -0.0545324868 -0.0134398971
#> [1971] 0.0379327445 -0.0271397922 -0.0843368694 -0.2343878749 -0.3311619274
#> [1976] -0.0513187183 0.0650546650 0.2079243031 -0.1221936100 -0.1696653741
#> [1981] 0.1954322497 -0.0310434193 0.0220601769 0.0810614831 -0.1634701413
#> [1986] 0.0829441809 0.0639063091 -0.3095699574 0.2079169599 0.1079135147
#> [1991] -0.1477175644 -0.0722437579 -0.0290509056 -0.0352484535 0.1347604261
#> [1996] 0.0348952471 -0.1683441976 0.0730490488 0.1249064036 0.3067335054
#> [2001] -0.0099070180 0.1498373295 0.0531865285 0.1743197528 0.1794966542
#> [2006] 0.1823300305 -0.0378585712 0.4104004209 0.0260322309 -0.0778652560
#> [2011] 0.0764138965 0.2227283579 0.1490319931 -0.0477981325 0.1333494975
#> [2016] 0.0124414398 0.1419778440 0.0074356035 -0.1207210928 -0.0583521593
#> [2021] 0.1272064994 0.0966405986 0.0236027392 0.3873142087 -0.0386940349
#> [2026] 0.0033137472 -0.0534449764 -0.0734836118 0.3505056527 0.3094289092
#> [2031] 0.0010828928 0.0714765681 0.1533598936 0.0833392315 0.0413494653
#> [2036] -0.2581229540 0.1681124723 -0.1900620136 -0.0635127295 0.1874364924
#> [2041] 0.1699826112 0.0873662767 0.0025444753 0.2809179409 0.0835302615
#> [2046] -0.0627328279 -0.0014263152 0.1819912416 0.2320054505 0.1401126736
#> [2051] 0.1455073243 0.1604466613 0.0101344596 -0.0648870554 0.2517255877
#> [2056] -0.0564615605 0.0994767309 -0.1573672622 0.1249257073 0.1886128735
#> [2061] -0.0237123606 0.1127009993 0.1674706486 0.0335158401 0.1140375841
#> [2066] 0.1602549034 0.2116670463 0.1320818415 -0.0811483175 0.0255119709
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#> [2076] -0.0221136844 0.1270617887 -0.1467308381 0.0704048013 0.0891638648
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#> [2086] 0.0033168210 0.0386339928 0.2306001515 0.0375355216 0.0390701391
#> [2091] 0.0349543817 -0.0602520104 0.0878493648 -0.0629449651 0.1299454379
#> [2096] 0.1094701667 -0.0335776836 0.0463010890 0.1519345002 0.2832535470
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#> [2106] 0.0614185857 0.0077491095 0.0567449085 0.1408030819 0.2385137677
#> [2111] 0.0071753815 0.1397091768 0.0334402189 0.0555061979 0.2218450364
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#> [2131] 0.1411504656 0.1738639017 0.0331058378 0.1333212191 -0.0538615595
#> [2136] 0.0841414248 0.0453139758 0.1815090043 0.2867372404 0.1234033298
#> [2141] 0.1404389280 -0.0122212844 0.0978080853 0.0486864970 0.0511549855
#> [2146] -0.1136409192 0.0413792180 -0.1357809981 -0.0758449975 0.0583022759
#> [2151] 0.2034288531 0.1764905528 -0.0054855215 0.2436298738 0.0257820994
#> [2156] 0.3065894392 0.1879572100 0.0644060187 -0.0592299778 0.0473054396
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#> [2171] 0.0162537374 -0.0552363977 -0.0793832344 -0.0365350580 -0.2458430686
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#> [2786] -0.0147019396 -0.0276441530 0.0634474195 -0.1111333482 0.3254201633
#> [2791] -0.0951086221 -0.0232604473 -0.0246118911 -0.0877264424 0.3168050290
#> [2796] 0.1362782490 0.0739032664 0.2197522546 -0.0425937476 -0.2095515067
#> [2801] 0.0678437972 0.1707985629 -0.0103206092 0.0425277104 0.0339860176
#> [2806] -0.2190354585 0.2275881835 0.0337066023 0.1420066149 -0.0895496110
#> [2811] 0.0798104691 -0.0111307220 0.0395289268 0.0926984830 0.1479287690
#> [2816] 0.0969945359 -0.0137579007 0.0631769781 0.1806968906 0.2485184790
#> [2821] 0.0760674548 0.1202554464 0.0020571561 0.1806134774 0.0314302173
#> [2826] -0.1182414643 0.0162927482 0.2502915539 0.2123648356 -0.0284494648
#> [2831] 0.2941856150 0.0822276472 0.0388386510 0.1314764840 -0.0498737964
#> [2836] -0.0505054242 0.0396952113 -0.0504258851 0.0400926831 -0.0987614379
#> [2841] 0.2557543468 -0.0344874332 0.0542958974 -0.0014377634 0.0542480056
#> [2846] 0.0102394644 0.0119494186 0.2896741403 0.2359370145 0.0053454316
#> [2851] -0.1108913506 0.0785354496 -0.0037407278 0.0214753280 0.0023882202
#> [2856] -0.0787110303 0.3639878352 0.0704607101 0.0861434373 -0.1450797663
#> [2861] 0.0718955955 0.0482339019 0.0336974505 0.1506472188 -0.0552142450
#> [2866] 0.0297452238 -0.0324749326 0.0176135653 0.1222558789 0.1366532870
#> [2871] -0.0216712136 -0.1079949027 0.0571283628 -0.0481411323 0.0443367235
#> [2876] 0.0105995153 0.0848515904 0.3366419177 -0.0853036922 0.0571826857
#> [2881] -0.0225663678 0.2410223127 0.1464579951 0.2973785586 0.1123437084
#> [2886] 0.2138121108 0.1272851960 0.0475063058 -0.0186682403 0.0599779651
#> [2891] 0.1531921614 -0.1063655400 -0.0490559450 0.2654579044 0.1566451870
#> [2896] 0.0703079806 0.1099377282 -0.0314102977 0.0360805914 -0.0385918849
#> [2901] 0.1742892117 0.1941230160 0.2012820865 0.2202260739 0.0499513228
#> [2906] 0.1513793268 -0.0584552051 0.1869086455 0.0385875380 -0.2061367165
#> [2911] 0.1009392207 0.1179103450 0.1554538959 0.1855383979 0.0386714094
#> [2916] 0.2084656339 0.0647137716 0.0026347353 -0.0161765176 -0.1144441210
#> [2921] 0.1641959993 -0.0253528831 0.1907771617 -0.0779682500 0.0802796068
#> [2926] 0.2169309120 0.0039958109 0.2513431139 -0.2225443857 0.0681088886
#> [2931] 0.0699427872 -0.2143237191 0.2612393972 0.1597777623 -0.0186781879
#> [2936] 0.0287119914 0.0311502656 0.1939486760 -0.0090043406 0.1694124011
#> [2941] -0.0361138135 -0.1876495305 0.1746580661 -0.0890407800 0.1944371753
#> [2946] 0.1939065196 0.1556861296 0.0022742807 0.0895500057 0.0513082645
#> [2951] 0.1776092490 0.0008502327 0.2293818823 0.1676746797 -0.1336546839
#> [2956] 0.0542076717 0.0912143543 0.1104775861 0.1141964477 0.2198435175
#> [2961] 0.0777509215 0.0977215805 0.2062713861 0.0045426326 0.0622427839
#> [2966] 0.0387793900 0.1574251736 -0.0635327956 0.1477321062 0.1412691944
#> [2971] 0.3079554341 0.0762022833 -0.0458851199 0.2533155773 0.0813350496
#> [2976] 0.1805541410 0.1423090962 -0.0493938323 0.1894518912 0.0900248741
#> [2981] -0.0064940886 0.3396920037 -0.1640421381 0.1668346506 0.1021581818
#> [2986] 0.0113275553 0.2864777672 0.1928625819 0.0119584168 0.0049904330
#> [2991] 0.0085458057 -0.0389187932 0.1942083987 0.0572576845 0.0444944170
#> [2996] 0.1120639762 0.0328536242 0.0260570229 0.2499186351 -0.0206109718
#> [3001] 0.0038512833 0.2388155349 0.3129195497 0.0602096662 -0.0163733196
#> [3006] 0.0329060233 -0.0266118310 -0.0107328798 -0.0110732341 -0.2020401511
#> [3011] 0.1649075884 -0.1345687719 0.0491368048 -0.0025316221 -0.0129793427
#> [3016] 0.2439621367 0.0596271922 0.2756845154 0.2405428879 0.0161389323
#> [3021] -0.0409860186 -0.0159351962 0.1851602705 0.1050870058 0.1241200169
#> [3026] 0.0551597446 0.0184197150 0.0191373745 0.0669343566 0.0380910674
#> [3031] 0.1688571657 0.1084204730 -0.1242418502 0.1191623255 -0.2350910811
#> [3036] 0.1047124818 -0.0294894445 0.0444446357 0.0405510181 -0.1910701215
#> [3041] -0.0114366518 -0.0276466577 0.0267056446 -0.2150207104 0.1029768711
#> [3046] -0.0117078053 -0.2328146798 0.1060214913 0.0949729356 0.0227684166
#> [3051] 0.1561849091 -0.0498222786 0.0329124298 0.1494407936 0.1143207900
#> [3056] 0.0893493008 0.1792659795 0.1146357521 0.0458382850 -0.0195132432
#> [3061] -0.0373398389 0.1393574330 0.0980816933 -0.1492254391 0.0319805453
#> [3066] 0.0076287780 0.0288847570 0.0999084569 0.1068670554 -0.2105478930
#> [3071] 0.1316606591 0.1445838804 0.3105416192 0.1746012738 -0.0292872928
#> [3076] -0.0214958820 0.0168991698 0.0796290352 0.0468523267 0.0847099202
#> [3081] -0.1152460067 0.1039152369 -0.0450763468 0.0122304570 -0.0625589078
#> [3086] 0.0984752935 0.0133045212 0.1207777615 0.2379349308 0.0658131420
#> [3091] -0.0197187860 -0.1236259588 -0.0190792957 0.1484300149 0.0877155643
#> [3096] -0.0301172136 -0.0086784645 0.0231844425 -0.0007917662 0.0646937626
#> [3101] 0.1125869186 0.3220374936 -0.0310233948 0.0907831992 0.0574117574
#> [3106] -0.0983083863 -0.2449926955 0.0607999291 0.1797127646 -0.0382212598
#> [3111] 0.1287487780 0.1048259132 0.0260393883 0.0424786366 0.0885793926
#> [3116] 0.1258884803 -0.0106537628 0.0036013336 -0.1698608917 0.1851736754
#> [3121] 0.2160823015 -0.1901893349 -0.1706867078 0.2605206067 0.1750003850
#> [3126] -0.1254694078 0.1399355983 0.1652910176 0.0141181500 0.2683792292
#> [3131] 0.2346777519 -0.0093001554 0.3051531037 0.0401285894 0.2051422940
#> [3136] 0.1587162975 0.3239098525 0.2563027834 0.1716315713 0.0566951445
#> [3141] -0.0681214647 0.1239193610 -0.1660170593 0.1503378441 -0.0044547572
#> [3146] 0.2716684534 0.0625300022 -0.1166021865 0.0424876209 0.3845641428
#> [3151] 0.1987729628 0.2417895203 -0.0695851431 -0.0173723465 -0.0909772990
#> [3156] 0.0486991900 0.1241432671 0.0835274697 0.0436168856 0.1986059262
#>
#> $mod1_unimodal$sim_properties$cell$pca_dist
#> [1] 51.00288 48.62139 44.28552 51.40934 47.04038 42.78467 50.39175 44.90481
#> [9] 55.81468 35.85986 47.95671 51.18516 48.13931 51.72266 56.22689 53.29810
#> [17] 44.37667 50.51072 48.81292 52.27351 44.25789 50.10261 47.76405 57.19028
#> [25] 50.78359 68.18657 45.22850 48.43569 58.53569 37.91282 42.84128 51.18851
#> [33] 42.74205 48.60521 49.20289 43.42606 42.49998 42.17741 58.25431 46.34689
#> [41] 47.96684 46.72600 49.80950 53.43762 50.73494 49.48387 35.13628 56.18950
#> [49] 44.77021 38.73228 55.07283 50.90880 46.47452 47.94872 42.98074 44.46530
#> [57] 49.04402 54.07419 49.35498 48.91806 38.20347 49.94309 51.51481 44.06215
#> [65] 50.33058 50.36665 49.43275 53.30322 46.21368 50.75246 45.96298 51.32925
#> [73] 51.92761 53.92160 46.26524 48.83301 43.27265 52.74987 47.17993 43.09600
#> [81] 55.14518 53.95092 50.95985 59.76847 56.56599 51.07644 49.13120 51.64169
#> [89] 49.06885 49.53598 48.30413 50.11794 56.23709 50.47791 55.40225 60.79368
#> [97] 45.35394 48.14118 35.02543 40.43024 55.72273 47.04478 46.19506 56.83227
#> [105] 47.79485 47.51024 60.74946 56.49351 33.15947 42.88448 51.34815 47.03571
#> [113] 52.18500 55.31705 34.46954 52.08831 59.45464 45.58691 64.55517 54.93767
#> [121] 43.08869 52.61426 51.84857 52.51860 53.55385 54.83499 61.16756 45.88949
#> [129] 48.46784 51.63172 42.89131 56.30171 49.89367 50.03065 57.06204 54.59549
#> [137] 52.87705 46.95979 35.81504 46.13605 61.94031 46.74168 43.98441 53.90359
#> [145] 46.29825 57.28746 56.36131 57.76482 33.70628 55.92718 46.26005 46.43627
#> [153] 40.79054 44.08059 54.32211 49.81447 56.45620 51.04875 60.61437 52.41482
#> [161] 50.72683 51.86578 47.71767 65.59042 43.07090 49.40420 50.06767 43.09106
#> [169] 59.75143 52.83112 45.46055 45.76498 55.91510 33.57360 54.70534 35.84354
#> [177] 41.89885 58.04673 51.01427 49.52877 65.49439 42.96438 45.26386 52.91398
#> [185] 53.46782 41.73867 49.79257 46.40530 49.46562 49.51158 48.40656 50.13863
#> [193] 44.39992 51.17815 41.99377 48.17280 44.89764 46.04286 51.78597 43.28468
#> [201] 45.34477 51.25855 52.61248 49.94090 41.61002 37.22040 42.37713 33.14603
#> [209] 42.57851 45.94117 53.67495 54.21167 55.36491 48.10055 51.77232 34.84861
#> [217] 37.78795 45.12865 50.18645 41.58910 54.08374 33.71392 60.73830 43.92844
#> [225] 55.54950 35.99653 45.95054 46.23425 48.48043 43.16121 40.01712 58.00356
#> [233] 51.51246 50.22622 48.06785 46.55297 46.65260 49.83815 53.61271 66.01003
#> [241] 51.30024 62.14998 55.48411 44.70844 61.30259 53.22986 60.50256 53.14552
#> [249] 45.10775 49.17444 50.44028 39.71945 53.41114 54.79201 57.00410 55.13203
#> [257] 58.06089 54.25852 42.07006 45.58615 44.45467 44.64483 54.79856 46.90301
#> [265] 40.45174 54.15599 49.59752 56.58242 44.83784 61.82129 56.45258 47.73725
#> [273] 59.17087 47.18045 65.12765 48.86041 53.53897 44.30242 58.77473 53.63240
#> [281] 49.99997 58.47813 51.74176 53.70793 57.19058 46.35355 46.50083 43.79660
#> [289] 67.02152 50.56680 56.58116 31.82703 41.24038 57.62045 55.50169 50.45027
#> [297] 57.44121 56.94991 46.49460 57.34118 57.64984 44.66657 50.14158 56.04425
#> [305] 45.83168 58.86921 49.30571 56.03752 60.69410 50.31063 34.56067 53.80597
#> [313] 50.87500 53.84591 58.60550 58.43391 58.78171 50.29266 48.37892 61.25718
#> [321] 58.84080 65.63547 59.80500 59.33242 55.73810 55.07690 50.39299 57.35858
#> [329] 58.00327 59.66795 49.38180 67.14030 53.45346 54.40586 59.10742 45.29703
#> [337] 51.36001 48.84326 40.58974 48.49637 56.26825 62.11656 52.76045 56.41315
#> [345] 59.66813 60.92833 55.65053 46.40302 51.18012 57.73483 43.72853 55.19271
#> [353] 59.90206 63.16013 51.11652 44.25936 50.88243 57.93386 59.67600 57.80355
#> [361] 49.83650 61.50249 56.87644 62.67971 56.32013 56.10379 51.14704 58.66581
#> [369] 50.49505 51.14147 47.17132 56.04780 54.66055 56.51979 62.71005 54.19657
#> [377] 54.80329 54.71789 61.38473 48.46189 58.28145 42.31522 53.32569 54.39864
#> [385] 50.76429 52.13508 49.81837 47.76338 52.56855 47.57207 47.54816 50.03619
#> [393] 44.68211 47.97124 51.29544 59.99256 43.79511 58.24261 49.88951 50.02015
#> [401] 41.71606 43.53532 53.74260 52.69476 54.93384 61.36419 42.97670 42.60883
#> [409] 58.95562 41.84617 51.40545 50.90929 39.42409 52.18306 38.36908 51.38759
#> [417] 52.23282 47.31604 52.18331 52.62429 49.68509 45.54856 44.84828 48.05600
#> [425] 44.63259 45.00321 55.88637 49.45941 41.85180 49.31180 46.84919 51.02232
#> [433] 50.34231 52.83359 49.84507 48.84758 51.26865 55.18183 49.77218 40.46300
#> [441] 43.70679 45.07505 47.09001 46.44257 43.25037 39.29213 47.12443 56.81223
#> [449] 50.91443 54.59842 45.67636 55.19160 56.43693 42.45073 54.70420 42.10082
#> [457] 55.31898 53.36714 45.64091 42.84731 44.33323 64.73395 49.23293 56.78951
#> [465] 46.61829 50.89583 57.53901 50.90449 62.79772 51.31344 53.34028 47.16478
#> [473] 48.81284 45.68524 51.58163 54.56261 58.84706 49.64558 69.73366 45.90621
#> [481] 39.65822 50.82349 37.32835 49.53476 53.73783 44.55442 51.70620 41.58659
#> [489] 40.05250 46.59576 40.48223 61.97072 47.62621 59.13031 44.75913 41.82324
#> [497] 61.78448 47.14515 48.13149 53.23898 48.92472 44.97066 41.36849 48.34356
#> [505] 38.28362 48.43031 53.04877 50.01807 47.80710 38.39415 49.78401 48.91430
#> [513] 57.23092 44.88713 50.18483 41.99864 46.80548 38.47215 47.30187 47.75574
#> [521] 54.86212 42.67069 43.82269 42.89811 41.48077 56.35455 52.59517 48.33612
#> [529] 41.44437 51.32591 56.03558 42.03952 62.86916 67.44529 58.98994 58.44237
#> [537] 45.07324 37.65396 59.07117 52.34227 52.12678 53.19230 54.84064 44.15498
#> [545] 47.06277 47.92567 54.08019 55.39860 47.94023 55.85493 61.07707 33.23155
#> [553] 38.46823 54.27463 45.88159 51.14726 51.99879 40.57104 51.99991 49.42427
#> [561] 51.93488 53.93073 27.59904 61.98849 50.15854 57.23002 41.56286 45.68893
#> [569] 57.50674 33.54317 48.74410 57.08291 54.82214 49.64863 45.52900 49.04334
#> [577] 48.43060 43.13467 52.71310 50.60350 50.56839 45.99754 51.50904 51.72737
#> [585] 46.45829 45.04337 55.41958 52.06418 34.87511 41.80104 58.83523 47.20808
#> [593] 57.25280 53.60196 45.72911 48.73108 44.70183 53.83149 53.97664 48.48010
#> [601] 51.18791 51.38070 53.89007 35.29891 49.50131 39.97385 43.39388 52.99840
#> [609] 50.57574 62.45334 41.95873 65.42453 55.22856 52.67720 52.74115 49.70850
#> [617] 47.24933 43.65749 59.77322 52.55978 48.83728 72.85382 56.26461 55.64748
#> [625] 60.17270 52.41924 47.76990 59.47505 52.77135 55.79212 48.67435 51.08200
#> [633] 48.76063 56.50087 57.05573 57.22089 61.76425 49.55914 51.57918 60.91957
#> [641] 54.11903 54.90878 56.09638 47.94727 47.38543 45.91220 46.50473 48.79264
#> [649] 52.50911 57.11368 52.55140 49.67223 54.67194 55.26288 56.04158 54.90568
#> [657] 48.23158 47.55751 51.89277 54.43307 50.34454 49.16936 50.35022 51.02219
#> [665] 51.36145 51.40082 41.18051 52.95754 55.28302 54.93486 50.62321 48.03003
#> [673] 58.18662 60.99105 53.95380 63.59432 58.15323 58.58739 55.72033 56.23061
#> [681] 46.01149 59.33195 55.23341 60.84968 57.27085 56.13481 53.41527 57.49019
#> [689] 62.44351 46.47299 58.73087 59.06201 57.01786 57.81952 63.80274 56.56168
#> [697] 59.27034 59.49746 60.23306 66.16063 55.50558 62.96326 53.43337 67.42305
#> [705] 64.05769 59.43806 65.10844 64.43786 57.40239 56.59515 63.83819 58.67726
#> [713] 56.81726 59.43500 58.70011 60.22321 62.05484 56.80841 64.81266 60.64897
#> [721] 57.22524 53.42629 64.41070 56.76478 60.92094 60.41210 52.94531 64.15998
#> [729] 61.68086 55.34896 52.48823 64.46895 49.91656 64.54206 60.06926 62.96103
#> [737] 50.32888 68.31658 55.76367 57.46377 54.71483 57.37810 56.06249 61.11507
#> [745] 63.49204 50.57181 50.29836 50.03485 58.83771 54.82727 62.88127 51.59037
#> [753] 57.61488 53.75354 56.16686 40.15289 44.56244 59.56821 53.82827 55.28751
#> [761] 67.40003 53.45500 53.55803 64.23825 51.32416 46.60866 60.82973 52.14882
#> [769] 55.23580 46.36801 50.00990 45.79236 45.44444 64.77262 54.97728 53.44608
#> [777] 48.30229 53.52457 57.72256 55.10974 58.46927 41.98781 56.24836 50.67559
#> [785] 39.56121 55.78807 55.18256 41.31731 44.93953 57.58659 56.08997 52.53900
#> [793] 56.56286 47.87468 53.03849 45.12035 41.07687 48.20257 53.53669 55.87837
#> [801] 41.25334 52.38992 56.35889 48.85816 52.17140 45.30445 52.84043 52.83243
#> [809] 51.93485 53.58512 48.58757 53.30925 53.40719 55.39685 55.30223 50.10691
#> [817] 61.40144 57.54986 55.63892 54.73846 55.81182 50.12835 57.58525 53.91556
#> [825] 42.05732 51.25645 49.02838 55.62683 70.34098 47.14450 51.42412 68.26632
#> [833] 57.77593 48.90715 55.16105 44.89274 60.12601 47.05533 53.47681 45.93172
#> [841] 49.51180 49.76446 53.92204 63.26056 49.24171 48.44088 44.39799 57.54252
#> [849] 52.83463 60.17009 46.86406 45.27144 56.09996 43.17414 47.69177 56.46294
#> [857] 55.02907 48.66110 51.95813 54.46023 50.12850 57.84275 39.90134 43.22222
#> [865] 53.33458 54.08286 52.03345 51.71495 43.00747 50.77444 61.85547 56.83732
#> [873] 48.67204 43.14728 48.50391 48.19127 50.36140 49.68324 47.74666 53.09271
#> [881] 66.74462 56.60702 42.37248 58.09936 49.88774 56.13170 54.20512 60.64089
#> [889] 55.39397 55.18403 44.55721 49.43463 43.74718 46.55084 41.88467 59.08714
#> [897] 41.28899 50.05597 60.91768 45.50684 51.40037 50.52963 46.78495 44.57530
#> [905] 49.85038 46.65844 45.30376 45.18331 57.15870 55.88505 57.36678 49.49938
#> [913] 47.58424 57.13760 43.08583 49.47278 54.75030 44.59107 50.84755 48.69928
#> [921] 38.18302 48.83966 48.31545 43.85540 51.98816 49.92139 44.06833 44.76295
#> [929] 44.36182 51.68176 47.12053 45.58524 39.51564 41.34958 36.48393 54.24216
#> [937] 43.48083 60.33615 45.89909 45.40900 50.44970 55.95593 32.71165 45.91304
#> [945] 51.85588 45.17897 52.10148 42.72865 43.69561 61.97837 47.75220 44.26890
#> [953] 54.32325 47.53509 40.22734 43.35761 45.64047 40.07140 50.32856 30.78661
#> [961] 54.22612 55.92153 34.84461 43.33449 46.77641 42.75576 49.57687 54.44613
#> [969] 40.42137 50.47324 48.47600 51.16490 49.22546 41.29591 47.86888 51.25293
#> [977] 52.68217 48.32376 42.83150 54.73661 44.33906 52.80194 45.91071 54.86683
#> [985] 48.40913 43.23894 38.30926 48.31118 46.65719 41.27031 46.56848 50.52456
#> [993] 44.45570 51.22218 46.32136 49.32325 40.36427 45.59097 47.05639 40.98552
#> [1001] 42.56117 54.13877 39.85584 41.71182 44.75161 48.82992 38.80147 54.13731
#> [1009] 51.15204 45.60287 51.44002 44.74557 45.96946 50.80035 32.79156 62.28234
#> [1017] 71.78937 53.64568 71.52979 46.06366 57.47320 37.15789 57.32040 53.53044
#> [1025] 67.64841 69.29011 64.28359 52.76285 49.55162 70.19152 51.81914 59.09716
#> [1033] 52.92798 59.01857 66.98967 48.59014 55.39306 49.88875 49.94315 63.37216
#> [1041] 59.39212 56.62284 56.92637 51.06427 56.31128 57.02290 48.80861 52.50222
#> [1049] 54.40038 64.67432 58.83051 60.12542 51.11569 57.03012 59.88828 53.76013
#> [1057] 49.12398 65.00180 53.32642 48.92217 58.50812 46.23113 60.14743 61.22948
#> [1065] 56.12308 45.90994 51.54020 57.04490 65.24452 54.94531 66.74189 46.46851
#> [1073] 63.00840 56.73302 54.11949 45.49777 57.58207 63.79045 43.78764 58.29622
#> [1081] 60.95885 49.40156 52.29864 50.01757 47.18195 42.61925 53.94887 53.71551
#> [1089] 43.91136 51.15554 52.83865 52.32210 46.90753 53.16537 59.58882 54.60116
#> [1097] 60.44501 55.21001 55.55240 46.17003 51.64597 58.96619 53.10347 52.20564
#> [1105] 55.25980 58.06894 48.64465 51.52494 58.16082 52.65666 49.39483 56.89359
#> [1113] 51.44325 42.20321 48.95962 52.71605 49.00618 51.89076 54.96932 57.25980
#> [1121] 45.55253 52.54266 44.03924 47.25833 53.40939 46.58783 48.36794 53.01202
#> [1129] 48.33219 41.99097 57.79084 48.84434 51.79684 55.21801 49.18796 43.57062
#> [1137] 51.72827 50.51843 51.33590 50.63295 55.32351 57.47660 54.47248 51.04841
#> [1145] 54.81014 51.79511 50.27307 60.92754 57.37596 51.63528 63.32769 43.03580
#> [1153] 50.80134 66.72178 39.19031 46.88314 54.29740 56.04199 53.63350 52.18329
#> [1161] 56.56907 48.30316 55.42176 54.56848 56.83315 52.72862 57.55756 37.45120
#> [1169] 54.30899 57.56260 53.30733 46.45897 54.81440 51.17369 54.22663 59.34421
#> [1177] 54.73880 52.95901 51.26551 51.09414 49.14827 52.77263 50.07373 62.44525
#> [1185] 53.15375 55.53810 56.22948 53.32597 43.76914 53.49406 57.80803 48.27694
#> [1193] 49.28868 64.67754 36.11931 65.25539 49.81878 51.16670 52.23004 58.77945
#> [1201] 53.83712 52.94494 54.47026 54.01248 53.18529 65.01673 55.34266 64.40678
#> [1209] 48.43776 50.56717 44.43859 52.65445 53.25962 57.26751 57.51979 58.41060
#> [1217] 41.08896 42.81035 62.73754 50.90105 43.04404 45.06741 43.16237 61.25404
#> [1225] 42.10051 47.49548 53.91769 53.78589 54.72426 41.10585 49.74907 48.60844
#> [1233] 50.07470 54.95186 56.16406 35.89064 54.26829 54.82064 42.82814 54.40746
#> [1241] 56.26860 50.42137 50.49471 44.22164 53.56497 37.86860 53.02479 57.09575
#> [1249] 58.60672 47.34497 42.37153 49.11936 46.16717 44.13497 48.02859 53.59185
#> [1257] 42.90461 65.71992 49.92028 59.80740 43.99266 55.95354 47.10096 49.86454
#> [1265] 49.36197 48.35227 57.52535 58.57378 50.56638 51.02218 63.59025 54.13135
#> [1273] 63.17018 67.48674 52.53824 50.85563 58.02067 54.21520 48.93573 43.40287
#> [1281] 58.82792 54.91677 59.43220 53.70027 48.22491 53.16802 52.24492 53.79795
#> [1289] 50.33504 60.51382 64.88459 49.21220 61.38171 41.62213 52.24937 51.28802
#> [1297] 53.06953 43.70074 51.09509 47.22135 51.81107 55.05119 38.40833 58.18447
#> [1305] 60.51846 48.76027 59.58703 55.54182 62.19449 58.11804 61.10998 43.22819
#> [1313] 45.93803 61.88448 50.59767 52.68739 58.47023 56.68662 52.97985 55.42343
#> [1321] 52.97889 52.29869 53.53820 59.76277 50.24247 58.17421 52.38585 50.56149
#> [1329] 66.17963 51.27511 44.91432 34.31520 44.54553 55.83871 49.26355 57.60036
#> [1337] 53.78365 41.71758 39.28652 46.12848 48.68174 46.87216 46.48732 42.65916
#> [1345] 55.59791 46.56408 48.69755 48.50176 40.26511 47.03158 45.27944 46.43104
#> [1353] 40.62529 39.91716 44.37001 44.23760 41.59036 43.32667 50.63834 50.56503
#> [1361] 44.50965 42.15996 33.24431 41.30783 40.12623 36.42191 51.31518 50.11105
#> [1369] 50.56140 44.46244 51.28066 31.68422 48.58271 47.75827 50.30155 36.96609
#> [1377] 51.77443 34.02192 52.63443 44.85394 51.97738 31.07806 38.05217 52.32945
#> [1385] 46.72730 29.17134 39.86943 45.61490 44.81221 45.04927 46.94077 34.53485
#> [1393] 59.84799 46.60038 55.83158 58.07263 50.84652 45.09860 64.12709 49.44034
#> [1401] 41.24129 51.16504 52.36794 57.68759 47.86113 57.13943 54.85058 52.36221
#> [1409] 53.72474 47.48820 66.83552 46.59542 52.47494 60.80064 59.48111 51.81096
#> [1417] 54.36770 54.55515 56.74201 51.20659 53.59335 54.77178 47.63611 50.86166
#> [1425] 47.80728 41.71275 40.32454 57.39084 59.42622 49.59552 47.90751 54.35857
#> [1433] 61.70511 50.85006 51.91711 53.74269 49.33420 39.21757 50.70799 47.24839
#> [1441] 36.20153 51.04117 59.31972 50.95351 39.25858 56.11640 50.22559 52.91820
#> [1449] 46.10069 43.90893 48.00567 49.59417 48.22590 48.61185 46.79369 34.11079
#> [1457] 51.99009 46.32673 39.42405 47.02245 45.77754 46.03039 39.49141 46.97707
#> [1465] 42.00269 37.16977 54.00675 46.72802 46.45513 46.76624 38.34356 49.52078
#> [1473] 42.72237 44.44145 41.21887 49.93422 49.37717 37.96768 47.09119 40.57199
#> [1481] 36.08102 46.76465 44.51903 41.93417 49.77767 47.87158 34.84458 50.02874
#> [1489] 25.82956 36.23153 48.25377 46.81819 33.29907 44.51900 44.43706 53.09155
#> [1497] 46.50389 53.39622 28.16903 43.91750 42.03743 36.86359 40.04839 40.31622
#> [1505] 53.30586 36.66658 50.11822 56.61924 40.06094 51.60436 64.57529 47.68971
#> [1513] 44.13880 64.52254 45.13337 45.19747 56.39385 50.11786 52.12030 43.58907
#> [1521] 53.06938 51.48707 47.03628 49.62475 42.46881 64.71625 49.08993 50.82220
#> [1529] 50.31348 56.98089 54.94757 54.40792 47.86144 53.34219 50.72244 41.00320
#> [1537] 51.64095 39.04888 47.20264 44.50197 47.88022 37.68502 53.41942 51.37761
#> [1545] 41.75834 42.54877 43.90896 54.48833 54.96430 48.44418 42.43911 40.22150
#> [1553] 51.00274 41.27397 46.33083 34.06729 49.77496 52.99421 46.17314 43.63750
#> [1561] 47.82079 50.59036 53.54263 50.93094 59.30245 59.30884 65.32229 46.97431
#> [1569] 50.67942 63.16329 51.94835 57.13530 56.38169 48.37906 55.21024 53.61073
#> [1577] 46.77295 50.40386 50.90015 46.85620 53.52711 61.33882 54.61542 51.74770
#> [1585] 61.38366 60.57751 53.29474 56.97446 61.22173 50.09855 53.82991 51.33730
#> [1593] 57.80606 63.27627 54.89743 55.96161 44.81818 52.66804 39.45403 39.82440
#> [1601] 52.71989 43.12258 56.31107 51.31652 50.09720 40.80790 55.70104 57.08938
#> [1609] 57.25301 57.50936 56.80825 48.59490 60.51764 45.89329 51.78350 57.22409
#> [1617] 53.63720 56.72529 52.60335 50.63075 53.54927 52.66669 46.19395 44.41154
#> [1625] 59.06868 52.54027 52.43643 61.20497 52.52141 57.93791 48.17755 61.39562
#> [1633] 53.76346 47.92708 58.04515 52.29913 62.61316 56.82195 51.95959 51.33722
#> [1641] 55.54571 61.14662 52.94069 55.76837 53.27362 52.57335 49.22842 51.93409
#> [1649] 49.95073 47.40336 52.24081 53.65183 46.01980 51.32317 52.75416 51.75712
#> [1657] 44.63550 52.98525 53.53299 49.75256 49.75381 56.76962 42.58891 55.27916
#> [1665] 52.02344 45.25062 40.91524 53.25821 45.82384 45.56837 54.49529 53.07659
#> [1673] 49.46379 59.86146 54.01373 63.49574 55.20745 47.91230 62.06877 51.97599
#> [1681] 42.93489 50.85238 49.84548 34.79445 49.93778 56.15359 49.21120 55.11008
#> [1689] 53.32537 51.15310 61.71700 52.98442 46.81984 48.15686 49.90774 51.14943
#> [1697] 57.30090 51.21953 42.68902 41.63617 41.29504 46.52600 44.90308 57.68590
#> [1705] 43.82981 53.14762 49.65608 54.84264 56.98685 55.76750 48.31043 45.23241
#> [1713] 56.05674 45.66434 41.95301 56.01491 49.04720 62.39812 47.08980 45.52602
#> [1721] 50.13302 51.38400 48.38698 44.19477 50.40968 45.88556 51.40423 51.03887
#> [1729] 54.20495 60.61482 52.97039 59.23788 69.38711 57.46986 60.77700 55.95214
#> [1737] 63.27618 57.03919 62.43451 58.54005 61.61574 63.35550 69.10632 64.78056
#> [1745] 67.75765 48.64507 57.09227 66.43840 58.08021 51.79599 61.45677 59.82855
#> [1753] 65.70965 66.67376 55.37293 60.75067 52.43390 61.87205 57.29610 57.21606
#> [1761] 64.73845 60.78181 59.55080 50.30073 51.46261 66.47728 56.81154 56.05870
#> [1769] 63.10463 59.96384 64.50379 64.77362 66.70599 53.35527 62.93418 55.87315
#> [1777] 49.73760 56.08349 56.00352 49.30260 54.66637 59.24950 39.51892 47.98552
#> [1785] 47.20611 47.38786 39.69132 39.24951 50.61966 41.81960 35.38553 41.02904
#> [1793] 39.09478 52.37969 38.22649 50.88338 40.35806 36.35250 50.77266 40.11916
#> [1801] 33.93806 53.22075 46.09848 45.53216 45.95847 40.99917 42.38294 45.38855
#> [1809] 44.29489 53.06276 48.48583 47.81636 41.44232 46.74812 38.47984 39.33076
#> [1817] 45.75558 41.97662 26.08253 34.35971 49.73706 33.47065 55.59827 45.26916
#> [1825] 48.52049 42.89531 54.42269 47.67013 49.62465 45.46374 40.73704 49.95663
#> [1833] 53.69766 29.65974 52.30986 41.05404 43.90167 48.42096 43.86379 49.78840
#> [1841] 25.41972 48.62178 47.59638 33.51443 50.76719 38.22107 51.61289 50.33413
#> [1849] 32.69463 44.32407 48.75182 42.64304 48.78099 49.62883 41.03463 43.82019
#> [1857] 46.57172 34.21368 43.32654 52.51286 43.41015 39.43022 40.49047 45.76444
#> [1865] 44.14493 49.53652 30.55437 43.33370 49.95012 41.48152 32.75275 40.86712
#> [1873] 45.41528 54.32565 41.16152 45.66050 29.66414 42.55939 48.83983 31.25023
#> [1881] 48.32052 43.78379 52.95724 52.59530 45.95394 58.80395 61.36331 59.28987
#> [1889] 51.81965 47.52333 60.91182 41.25302 56.53996 55.41665 64.48067 55.75588
#> [1897] 55.93854 58.63103 43.23069 65.73548 49.15568 53.25687 54.35177 61.61558
#> [1905] 55.47389 51.16569 57.72825 48.00204 57.78922 58.75261 61.23002 66.38823
#> [1913] 54.23767 59.81777 48.28260 60.47653 43.91489 47.13314 54.12275 54.29935
#> [1921] 43.50658 65.55138 46.84761 56.47694 59.78287 62.55866 53.36899 57.20393
#> [1929] 67.62409 60.99742 58.92294 42.02909 52.79042 64.62419 46.36039 54.99850
#> [1937] 58.32807 41.53517 52.52778 46.74458 53.47414 53.43125 42.31245 58.73323
#> [1945] 49.37066 54.22969 54.48785 50.48946 55.98255 48.37195 56.01688 47.40955
#> [1953] 57.11927 49.24820 46.86046 47.68235 49.25021 49.72967 49.84903 38.03479
#> [1961] 46.57973 40.93014 58.10591 49.52071 57.59638 44.82232 55.58409 45.63833
#> [1969] 51.55059 43.36307 52.79017 44.89194 59.22540 37.05623 52.67252 46.57663
#> [1977] 53.27239 55.64752 49.22568 54.37645 46.05374 48.82399 50.65570 46.07845
#> [1985] 33.37594 44.31110 47.26112 48.32924 52.33113 36.21262 51.02569 58.89355
#> [1993] 44.03793 58.46253 48.41886 41.95007 57.12868 52.90552 44.97912 50.07703
#> [2001] 54.44898 53.37825 43.08659 52.09465 48.74261 45.41775 50.73521 47.52406
#> [2009] 42.40085 50.23467 60.68891 60.85816 48.44444 34.73172 44.09512 57.27937
#> [2017] 42.42401 50.01730 51.69347 50.47858 51.13138 56.45578 51.56358 33.23357
#> [2025] 47.51991 44.66103 42.90601 41.75619 43.49537 52.63814 57.19499 51.97286
#> [2033] 50.42743 50.02416 50.28660 48.18081 38.84708 57.06034 56.98681 45.48225
#> [2041] 49.59483 44.00645 42.18287 53.64701 51.48382 28.74533 54.34983 50.25622
#> [2049] 58.07759 50.73280 51.55911 44.82251 57.06980 49.74978 50.45739 53.85980
#> [2057] 56.05916 55.13737 58.42930 53.01775 40.70640 52.35545 51.53055 42.39448
#> [2065] 43.77811 54.26277 45.99967 55.27218 58.27609 51.10321 45.09492 54.39017
#> [2073] 47.18534 43.49578 41.28125 44.10065 56.07548 55.30947 50.44407 52.15615
#> [2081] 48.42280 49.00935 44.99537 43.39710 51.04884 51.42053 57.58353 44.78032
#> [2089] 37.44214 51.02778 41.59180 48.28853 54.50101 56.03544 35.13964 44.91948
#> [2097] 41.53950 46.52595 47.25800 45.19902 44.54540 46.22854 47.57410 57.40588
#> [2105] 55.39214 41.00858 41.14584 48.26148 43.47445 38.86707 41.37486 51.13292
#> [2113] 44.23543 62.09258 51.25054 56.49163 44.24907 45.86142 51.77071 49.92424
#> [2121] 48.74644 29.11307 40.43752 53.74178 37.08969 58.19810 43.47488 52.98390
#> [2129] 48.67325 59.13488 49.77495 55.07882 53.61748 48.32021 55.99339 43.26147
#> [2137] 49.63646 53.56608 50.97235 52.38460 46.05600 49.14109 52.07290 44.90927
#> [2145] 59.64745 47.61750 57.72233 43.75545 57.30673 46.78555 48.37209 39.65759
#> [2153] 37.05294 58.68938 50.15842 42.88981 59.03469 48.99494 55.90574 54.64414
#> [2161] 48.40036 54.39464 51.80270 53.30625 50.09531 52.89194 47.02147 51.61754
#> [2169] 54.57670 50.81614 47.99549 44.42002 43.17912 47.77146 44.85618 53.19946
#> [2177] 46.76088 34.10229 41.24942 56.09403 40.85051 50.17420 44.39067 36.35051
#> [2185] 44.51378 45.49279 34.86031 47.69753 49.79517 51.45746 43.87534 46.21054
#> [2193] 40.23714 46.57574 50.68276 42.30090 42.90947 45.80706 41.44505 37.34784
#> [2201] 24.42590 47.94273 54.00901 36.73894 44.17015 33.52340 50.25698 51.84647
#> [2209] 31.39115 49.74120 44.73309 54.45671 51.21374 46.30743 44.26451 46.75989
#> [2217] 56.76182 45.56522 53.75898 47.48406 39.85072 58.97038 50.07774 35.84290
#> [2225] 50.50318 40.58890 47.62929 51.17231 50.47250 42.93840 49.87745 50.42442
#> [2233] 57.68375 50.59992 43.26583 44.38869 42.36351 43.13946 39.84063 36.09204
#> [2241] 46.79828 43.47199 38.87585 48.56263 43.08014 54.63723 47.49556 51.88457
#> [2249] 48.99366 54.94834 53.46454 56.60129 46.93911 42.50512 49.93047 56.54150
#> [2257] 38.49251 49.95900 60.74595 50.26778 61.36824 50.42271 30.67587 54.09800
#> [2265] 53.90587 47.80741 46.78454 51.78474 53.87195 40.43658 49.12986 43.08016
#> [2273] 52.15793 50.70159 55.45561 51.63842 55.08636 46.98499 51.29185 51.90739
#> [2281] 39.95371 47.39518 50.82582 37.00909 41.98148 42.87844 50.52641 53.79470
#> [2289] 52.47553 52.83561 37.12924 55.83526 47.58134 46.05349 44.33383 35.69883
#> [2297] 46.93131 51.25177 47.06579 60.86012 49.65670 51.60851 45.25806 43.62093
#> [2305] 50.18084 35.96168 50.91823 47.55316 48.58529 47.89307 43.77291 47.65847
#> [2313] 42.45258 35.99235 51.56330 45.15265 47.88018 43.33747 47.69473 40.30241
#> [2321] 44.36520 34.64033 46.47305 50.90400 43.54052 40.88845 47.73800 48.04740
#> [2329] 58.39966 47.24899 44.78772 42.73002 38.24721 48.12034 48.69377 46.75084
#> [2337] 49.34216 50.91000 50.68589 44.13804 55.21935 57.76012 50.30438 49.54934
#> [2345] 44.67769 64.48555 46.34813 57.97745 56.24100 40.30031 54.59726 36.86846
#> [2353] 49.07606 59.30519 50.68611 45.60115 52.66757 56.30769 47.75790 52.99323
#> [2361] 56.08250 51.25501 52.31355 56.36647 54.15591 44.06642 51.80639 50.88948
#> [2369] 52.55282 45.19364 55.59376 46.74100 60.31236 59.34426 45.63091 50.79763
#> [2377] 53.80449 54.93715 49.81287 47.81994 59.60944 44.21224 50.29264 51.77756
#> [2385] 56.79492 45.07620 57.01170 59.86254 50.29792 43.21628 52.76296 51.37393
#> [2393] 42.55856 51.23107 52.43598 52.60335 45.01944 46.14292 48.52433 46.80168
#> [2401] 39.61791 52.07958 50.76223 47.39331 41.23764 52.64570 35.33569 60.33181
#> [2409] 47.38109 47.32468 40.27800 49.03279 55.88153 51.78689 44.66973 46.48622
#> [2417] 53.14916 59.07319 52.92164 51.78488 55.36823 50.65411 49.51511 41.83421
#> [2425] 39.89159 56.36360 53.79537 53.22887 57.38513 46.11744 58.92277 45.84001
#> [2433] 47.64181 62.52241 61.39955 60.91908 48.27159 65.30152 41.95038 51.64722
#> [2441] 46.58271 57.68268 50.99119 58.60120 49.27482 60.53078 53.40776 56.65181
#> [2449] 55.79400 56.32484 52.57927 45.77794 57.05893 55.20634 61.06985 55.31906
#> [2457] 57.31978 50.75402 48.69191 43.86474 40.12599 56.35265 52.42752 43.54793
#> [2465] 36.61243 45.15020 48.41668 43.68887 42.31677 51.30686 59.34043 50.52853
#> [2473] 41.90467 46.49467 44.63735 48.07678 54.12345 40.97686 44.57061 41.83590
#> [2481] 47.07785 40.41179 53.23061 52.59351 36.99489 47.44454 38.59337 56.34896
#> [2489] 53.23577 36.01185 44.63133 47.90544 47.81606 43.60555 47.56259 46.40177
#> [2497] 38.15179 48.51646 44.02904 41.71625 42.99460 39.86609 28.12504 48.25567
#> [2505] 52.13323 49.62896 46.09855 49.55147 47.36051 48.79609 48.66720 35.51658
#> [2513] 35.83303 49.86687 32.91242 30.87382 39.45785 47.18381 51.54692 44.59360
#> [2521] 53.70063 33.49907 51.50690 51.87451 37.84341 45.93933 30.33848 47.87466
#> [2529] 50.14602 35.11342 56.61268 46.94181 50.31069 49.20427 41.69005 52.33970
#> [2537] 46.06429 40.20937 49.12201 48.88598 39.83725 60.93658 55.05657 48.36853
#> [2545] 51.71663 49.84035 46.01100 53.09047 54.69214 53.09329 45.52795 43.93824
#> [2553] 44.41827 67.58057 45.71041 46.45072 49.98121 48.13575 53.80607 40.73729
#> [2561] 44.40517 49.11069 44.68409 50.38576 58.72093 46.43352 59.17763 48.76095
#> [2569] 51.01096 45.30133 42.39798 45.54230 40.55653 56.57200 48.27983 56.87083
#> [2577] 56.75338 57.85788 50.53579 48.21743 43.52526 48.34475 49.07736 41.91860
#> [2585] 38.37487 61.92791 42.68975 65.32079 55.50328 54.75726 52.99471 47.41659
#> [2593] 51.51432 56.34017 49.35334 43.88714 58.03502 52.17748 42.79764 52.93688
#> [2601] 36.61708 44.58037 52.25382 44.82523 34.44492 51.06482 47.83003 48.15037
#> [2609] 46.48947 52.65501 47.47644 52.20730 46.45366 40.31051 42.83289 47.38037
#> [2617] 38.31813 36.12956 49.14927 40.24478 56.17462 46.98870 50.53954 45.47165
#> [2625] 52.97197 48.24030 44.89627 39.00043 45.26070 55.93957 51.39919 40.94718
#> [2633] 57.58568 54.85753 45.52942 59.48858 46.17033 51.54187 39.59051 43.66454
#> [2641] 54.22305 50.33883 57.31326 45.66560 62.46910 38.01049 47.61924 54.71225
#> [2649] 53.92250 53.10138 51.96049 51.49920 47.43357 44.40021 53.32044 45.17358
#> [2657] 55.21186 53.00846 45.59787 47.58512 52.70365 40.60632 45.63727 52.48287
#> [2665] 51.70565 62.89524 42.18513 34.19527 51.28177 54.97558 48.72136 49.09642
#> [2673] 47.27400 51.78565 56.09145 45.70519 46.98910 40.66416 54.47622 49.81448
#> [2681] 44.58702 46.91542 46.20573 60.93920 46.08678 47.46401 50.28037 53.57263
#> [2689] 46.20704 49.58031 43.98874 51.69938 57.34623 57.03221 48.65922 42.87928
#> [2697] 42.53763 42.63885 48.89730 50.28683 48.60420 47.64291 48.90570 46.03462
#> [2705] 51.10388 46.02805 47.06278 45.07811 44.94730 40.47427 40.24982 44.07330
#> [2713] 47.65662 60.74558 43.80740 48.01923 47.97098 48.04269 55.21641 46.41030
#> [2721] 53.22750 42.49581 46.41495 55.07304 42.62142 46.77019 48.26615 38.92060
#> [2729] 49.09089 51.16009 57.43377 53.43423 45.12068 41.21728 56.37292 42.99632
#> [2737] 48.20363 46.54455 40.45259 38.75333 47.81893 46.76611 48.93443 46.73765
#> [2745] 45.34741 40.16716 46.41906 57.81605 47.62637 46.61817 40.24852 47.42795
#> [2753] 43.24345 44.76998 37.54786 45.29032 47.91315 41.10949 52.29031 50.77702
#> [2761] 47.22280 50.16715 50.58466 46.57694 43.93219 44.10483 44.51341 32.26253
#> [2769] 49.31734 37.74317 58.02865 37.23849 49.45437 42.35596 52.05408 48.14042
#> [2777] 44.57457 46.03454 38.87146 54.21091 46.31418 39.19651 48.64637 48.00069
#> [2785] 39.27660 49.28746 48.20994 46.66761 48.40402 55.89589 36.17787 42.53694
#> [2793] 44.76708 45.05320 31.92184 43.65498 40.55461 57.13404 38.07865 46.08862
#> [2801] 36.81674 42.24813 46.80142 38.16046 40.05784 38.32814 50.07805 51.00866
#> [2809] 45.20371 48.72439 47.69187 52.32831 47.73016 54.50742 48.84945 42.61066
#> [2817] 42.89997 38.93673 55.57315 45.20840 44.04149 52.35903 38.73601 62.86235
#> [2825] 41.35846 51.46621 43.43727 45.16008 54.14277 54.27886 38.51274 46.63964
#> [2833] 49.75157 43.67039 47.08641 48.08524 58.00415 44.89125 52.74618 48.43792
#> [2841] 55.48720 45.66619 49.84064 33.47641 52.55007 48.98545 51.51339 34.76389
#> [2849] 57.12727 42.83174 48.07820 46.52612 50.07221 45.46388 46.73560 43.53571
#> [2857] 43.10922 39.13213 44.55731 47.93081 46.85871 45.67305 59.80509 54.33304
#> [2865] 54.85288 37.54173 53.11366 55.34305 55.47820 45.20721 56.17110 43.57149
#> [2873] 57.42904 41.95117 48.40762 43.46608 42.10643 48.60393 43.16900 39.04761
#> [2881] 49.14008 44.86514 48.20439 52.83791 49.24331 56.38190 59.10833 48.56549
#> [2889] 40.61661 48.62020 61.41391 43.34557 46.97308 55.31871 55.56527 56.24960
#> [2897] 48.98933 60.16267 37.42262 58.22686 44.76474 49.18973 49.16058 56.50338
#> [2905] 59.17900 55.86167 47.23062 52.50008 48.02866 46.67683 42.18980 45.27087
#> [2913] 48.58413 54.36306 46.48653 47.78118 44.11858 51.36660 44.11425 35.77425
#> [2921] 46.07020 41.92785 52.05472 46.61540 49.08605 47.17587 39.87351 57.28557
#> [2929] 47.18174 32.49590 52.18441 48.33805 55.30064 46.98946 44.82437 32.55696
#> [2937] 45.23568 47.59436 56.13542 49.27479 40.27939 46.16499 53.92902 51.25383
#> [2945] 50.02586 47.82022 52.56201 53.68970 48.11642 49.61348 55.21896 37.77544
#> [2953] 46.42008 43.31173 54.37664 32.61893 47.17320 45.87124 53.55726 48.55965
#> [2961] 46.93397 45.46135 49.79448 51.60134 46.55034 51.40427 47.58691 52.42215
#> [2969] 41.81753 51.78666 43.84660 44.65021 59.06216 42.98778 49.01124 49.70265
#> [2977] 45.91367 62.89129 58.39429 52.33383 50.26546 51.13256 53.94471 57.79490
#> [2985] 45.12323 48.38864 48.23202 60.56513 46.11201 36.43494 47.59481 45.48786
#> [2993] 35.46910 46.50987 40.40555 49.87552 48.77277 47.76008 27.86369 38.54470
#> [3001] 37.73520 35.58934 40.78427 38.03031 47.34073 51.32747 48.77243 52.56116
#> [3009] 46.08642 42.47630 43.58211 46.39183 53.20900 43.94489 55.33845 42.13764
#> [3017] 54.78732 49.63047 42.63995 51.24010 40.70966 54.03223 51.57395 43.89941
#> [3025] 52.19359 38.87291 48.92487 36.16123 64.63815 47.14057 47.24717 49.70980
#> [3033] 48.61994 46.69524 47.33236 55.26746 34.76180 52.76604 53.87160 49.63849
#> [3041] 37.72216 51.98899 46.81801 55.19852 48.23011 51.78673 44.94202 58.62720
#> [3049] 49.74304 50.03740 47.45114 45.01368 50.31962 50.42504 28.72103 46.49405
#> [3057] 35.12483 55.83091 40.29387 46.63916 36.70755 46.52813 45.31234 39.91671
#> [3065] 42.01959 33.33249 50.63729 39.69091 38.67021 54.91531 54.15714 45.38418
#> [3073] 45.80196 40.64431 51.39843 58.48816 37.43150 52.44284 43.88277 53.01315
#> [3081] 54.31092 52.23756 61.75112 38.78080 46.85407 42.97696 46.94210 47.16980
#> [3089] 50.47632 37.66251 36.43669 44.76948 49.31734 44.99602 57.64114 50.14913
#> [3097] 44.10138 61.85989 66.91366 51.13426 54.59205 60.69062 56.00573 57.94064
#> [3105] 46.20851 50.61125 43.55269 57.62612 55.36780 46.06373 46.93455 48.07069
#> [3113] 49.48862 42.17885 41.86650 49.30890 36.96632 50.67473 44.66740 46.40342
#> [3121] 53.42588 46.01032 57.14555 53.75590 44.08102 45.68012 35.07537 38.84604
#> [3129] 39.61713 51.52057 49.17718 46.94639 51.97725 49.39808 40.98758 45.00456
#> [3137] 47.07855 59.21984 58.96829 42.21685 50.48735 51.57767 58.55968 54.44843
#> [3145] 59.58149 53.03182 44.01572 54.52233 49.33247 54.40631 46.71018 41.38894
#> [3153] 40.93935 47.85255 42.82200 51.62239 43.76946 49.73675 46.94389 47.77946
#>
#> $mod1_unimodal$sim_properties$cell$knn_hubness
#> [1] 4 3 3 1 1 3 2 5 3 0 2 2 2 3 0 2 1 1 1 8 2 14 4 1 3
#> [26] 1 0 13 8 1 4 3 2 6 2 8 4 3 4 2 2 1 3 12 1 3 5 4 1 3
#> [51] 3 5 9 3 4 2 1 4 4 3 1 21 4 3 3 18 3 8 1 2 3 15 2 1 7
#> [76] 7 6 3 1 6
#>
#> $mod1_unimodal$sim_properties$cell$prop_outliers_cell
#> [1] 0
#>
#>
#> $mod1_unimodal$sim_properties$feature
#> $mod1_unimodal$sim_properties$feature$mean_expression
#> [1] 12.351221 12.148863 11.000753 11.955018 11.804892 12.410481 12.973868
#> [8] 11.697096 12.289612 12.449871 12.450975 12.357034 11.315901 9.880961
#> [15] 12.239692 11.343633 9.773410 8.637613 10.474719 10.934556 10.253266
#> [22] 8.931317 9.697346 11.664570 12.194100 11.073026 10.967787 8.992583
#> [29] 13.115604 11.035537 10.856682 12.291518 12.402456 10.755332 11.334035
#> [36] 8.962758 11.031285 10.869918 8.763965 10.585361 10.838214 10.984303
#> [43] 11.087264 9.972900 10.733358 9.909553 10.487023 11.945403 9.934252
#> [50] 12.263342 11.165369 11.037627 12.244533 12.391237 11.116308 11.488850
#> [57] 11.443752 11.128507 8.688491 11.635368
#>
#> $mod1_unimodal$sim_properties$feature$variance
#> [1] 21.55092 27.81482 36.74076 26.97810 26.19284 23.92838 20.23390 28.23542
#> [9] 28.50145 21.48720 21.45778 26.45556 26.28789 40.99848 23.04773 28.96139
#> [17] 40.05241 39.18586 28.55080 36.69644 34.25149 41.95426 41.75456 30.66618
#> [25] 25.11464 27.48012 31.67581 40.38019 10.72921 32.14445 33.42716 18.31830
#> [33] 23.46884 32.74777 33.74322 40.17714 27.40481 33.15085 38.16178 33.75451
#> [41] 30.92148 33.56867 30.18345 39.13627 30.20021 39.02026 33.58222 26.83123
#> [49] 36.62681 22.99377 27.84502 32.11458 23.23923 21.06392 30.10819 29.39716
#> [57] 29.23077 32.22107 37.40067 28.04191
#>
#> $mod1_unimodal$sim_properties$feature$sd
#> [1] 4.642297 5.273975 6.061415 5.194045 5.117894 4.891664 4.498211 5.313701
#> [9] 5.338675 4.635428 4.632254 5.143497 5.127171 6.403006 4.800805 5.381579
#> [17] 6.328698 6.259861 5.343295 6.057758 5.852477 6.477211 6.461777 5.537705
#> [25] 5.011451 5.242149 5.628126 6.354541 3.275548 5.669608 5.781623 4.279989
#> [33] 4.844465 5.722567 5.808892 6.338544 5.234960 5.757677 6.177522 5.809863
#> [41] 5.560708 5.793847 5.493947 6.255899 5.495472 6.246620 5.795017 5.179887
#> [49] 6.052009 4.795182 5.276838 5.666972 4.820708 4.589545 5.487093 5.421914
#> [57] 5.406548 5.676361 6.115609 5.295462
#>
#> $mod1_unimodal$sim_properties$feature$cv
#> [1] 130.55767 103.95416 106.25960 111.95181 98.14919 106.41408 83.64384
#> [8] 110.48257 104.52145 94.26704 118.44160 112.88781 104.81625 120.68695
#> [15] 105.83086 107.11749 115.32781 119.41742 100.01927 119.97535 120.98654
#> [22] 115.28308 114.52381 107.58913 86.06260 116.12402 115.17596 158.46266
#> [29] 99.13179 96.30449 113.85643 96.33931 103.01956 122.53741 98.64338
#> [36] 136.77820 100.91043 97.63758 125.49460 108.22896 109.76487 88.48904
#> [43] 118.68170 136.07973 107.51032 133.33971 114.64982 101.41153 118.91615
#> [50] 88.78895 123.30338 111.62377 100.75538 106.43936 125.32453 92.86932
#> [57] 131.71075 100.59417 115.23526 93.86104
#>
#> $mod1_unimodal$sim_properties$feature$zero_fraction_feature
#> [1] 0.1125 0.1500 0.2250 0.1500 0.1500 0.1250 0.1000 0.1625 0.1500 0.1125
#> [11] 0.1125 0.1375 0.1625 0.2875 0.1250 0.1750 0.2875 0.3375 0.2000 0.2250
#> [21] 0.2375 0.3375 0.3000 0.1750 0.1375 0.1750 0.2000 0.3250 0.0500 0.2000
#> [31] 0.2125 0.1000 0.1250 0.2125 0.2000 0.3250 0.1750 0.2125 0.3250 0.2250
#> [41] 0.2000 0.2125 0.1875 0.2750 0.2000 0.2750 0.2250 0.1500 0.2625 0.1250
#> [51] 0.1750 0.2000 0.1250 0.1125 0.1875 0.1750 0.1750 0.2000 0.3250 0.1625
#>
#> $mod1_unimodal$sim_properties$feature$detection_freq_feature
#> [1] 0.8875 0.8500 0.7750 0.8500 0.8500 0.8750 0.9000 0.8375 0.8500 0.8875
#> [11] 0.8875 0.8625 0.8375 0.7125 0.8750 0.8250 0.7125 0.6625 0.8000 0.7750
#> [21] 0.7625 0.6625 0.7000 0.8250 0.8625 0.8250 0.8000 0.6750 0.9500 0.8000
#> [31] 0.7875 0.9000 0.8750 0.7875 0.8000 0.6750 0.8250 0.7875 0.6750 0.7750
#> [41] 0.8000 0.7875 0.8125 0.7250 0.8000 0.7250 0.7750 0.8500 0.7375 0.8750
#> [51] 0.8250 0.8000 0.8750 0.8875 0.8125 0.8250 0.8250 0.8000 0.6750 0.8375
#>
#> $mod1_unimodal$sim_properties$feature$dispersion
#> [1] 9.460144 6.618962 5.476184 6.767932 4.166386 6.879304 4.433900 5.706492
#> [9] 7.770216 4.631970 7.873446 8.601969 3.652993 5.298143 5.586085 4.403208
#> [17] 4.206284 2.442114 2.088304 7.376968 4.336431 3.089969 4.442945 6.062627
#> [25] 3.601542 4.096005 4.924818 5.869559 4.704729 3.466365 4.926049 3.631294
#> [33] 5.757569 5.292935 4.719301 4.396445 2.965774 3.324668 2.775743 3.733681
#> [41] 3.885585 2.848275 5.352432 6.133986 3.323060 6.133920 4.091251 5.077872
#> [49] 3.994847 3.675671 5.074243 4.921647 5.151961 5.537214 5.791676 3.460665
#> [57] 7.502890 3.971781 2.008474 3.766230
#>
#> $mod1_unimodal$sim_properties$feature$bcv
#> [1] 1.2346458 0.9578003 0.9606896 1.0335065 0.8556357 0.9837615 0.7360966
#> [8] 1.0033624 0.9756412 0.8347340 1.1066469 1.0612340 0.8932484 1.0870234
#> [15] 0.9589139 0.9417162 1.0068986 0.9176657 0.7220412 1.1154759 1.0612358
#> [22] 0.9481093 1.0081505 0.9831639 0.7314517 1.0095845 1.0281974 1.4433412
#> [29] 0.8796783 0.8123404 1.0164501 0.8200824 0.9364674 1.1035641 0.8757089
#> [36] 1.2022045 0.8215496 0.8164382 1.0037498 0.9260806 0.9459150 0.7128232
#> [43] 1.0702228 1.2449428 0.8988998 1.2198741 0.9965807 0.9087894 1.0296227
#> [50] 0.7575424 1.1048741 0.9964046 0.9045001 0.9634989 1.1399287 0.7831027
#> [57] 1.2261967 0.8701389 0.8165534 0.8044074
#>
#> $mod1_unimodal$sim_properties$feature$gene_cor
#> [1] -0.0040909414 -0.1878354751 -0.1934749560 -0.1221652169 0.0753980251
#> [6] 0.1034648701 -0.0783372826 0.0335689647 -0.0067389482 0.1833412641
#> [11] -0.1731617129 0.0857255419 0.0389468680 0.1216251710 -0.1112377988
#> [16] 0.1056257276 -0.0885740884 -0.0094839910 -0.0288655109 0.1796024918
#> [21] -0.3641422014 0.3086874975 0.0999788318 -0.1136567121 0.0430599161
#> [26] 0.0684901898 -0.0749600151 0.0277243758 0.1265777094 0.0132317088
#> [31] 0.1255081553 -0.2234196400 -0.0244391999 -0.0239680391 -0.0264462351
#> [36] -0.1679999438 -0.0511414943 -0.1265833864 -0.0598724001 -0.1272097856
#> [41] -0.1589567955 0.0238384053 0.1310425387 0.0450222128 -0.2223623198
#> [46] 0.0878932454 -0.0907408503 -0.0982072661 0.1103962464 0.2785733998
#> [51] -0.0870518363 0.0667952394 0.0985040151 -0.0088345277 -0.1564737392
#> [56] 0.0856493993 -0.0650144347 -0.0388532948 -0.1818672600 -0.1046487867
#> [61] -0.1085172391 0.0515848451 -0.0291540604 0.1112897112 0.0807301273
#> [66] 0.0457010441 0.1302716044 -0.0110524859 0.0993108504 0.0362195491
#> [71] -0.0994028431 0.1046502331 -0.0159171132 0.0784201017 -0.0227215583
#> [76] -0.1464864291 -0.0970065998 0.0659193691 0.1962689060 0.0096514822
#> [81] -0.0407748872 -0.1691246809 -0.0485113195 -0.0368323221 -0.0825607495
#> [86] -0.0034423829 -0.1330239015 0.0199928654 0.0200759606 -0.0493384586
#> [91] -0.1237665362 -0.0655439089 0.0065533274 -0.1606997585 0.0416334045
#> [96] -0.1361716049 0.2571475891 -0.0779299393 -0.0313316265 -0.0376169700
#> [101] -0.2142293842 0.0273000009 -0.0252303622 -0.0228675718 -0.0829950010
#> [106] -0.0552029867 -0.1114216337 0.0324508200 0.1501785123 -0.0389847671
#> [111] -0.0055318867 -0.0403492549 0.2178453459 0.0786472617 -0.0567689468
#> [116] -0.0813377464 -0.0835865545 0.1417496216 -0.1058344113 0.1107108370
#> [121] -0.2829864119 -0.1998437519 0.0784014493 0.1054006489 0.0647771378
#> [126] -0.1121420381 0.0742700290 -0.0739073909 -0.0693116343 0.0107166542
#> [131] 0.1318669704 -0.0379482408 -0.0722925523 -0.2553286500 -0.1469050434
#> [136] 0.0347073303 -0.0306704856 -0.0306114649 -0.1035287428 -0.0809791887
#> [141] -0.1540961449 0.2209625731 -0.1400025517 0.0787816423 -0.0906860036
#> [146] 0.1150122717 -0.0920164522 -0.1974406609 0.0619553942 0.1629365406
#> [151] -0.0128949533 -0.0993608394 -0.0605745598 -0.0808582747 -0.1013898998
#> [156] 0.0785211268 0.1500152586 0.0181035856 -0.0997815233 -0.2453569813
#> [161] -0.1647282159 -0.0561917135 -0.1388907966 -0.0549209314 0.0511629010
#> [166] -0.1008957854 0.1395900211 -0.0473448382 0.0564321057 -0.1948178570
#> [171] -0.0144977836 -0.0142515117 -0.0034890737 -0.0832557725 -0.0865550626
#> [176] 0.0344422988 0.0839214609 -0.0962602735 0.0544879490 0.0043008886
#> [181] 0.2513084694 -0.1571273416 -0.1520303722 -0.0056363007 -0.1766045470
#> [186] -0.1971170046 0.0585775157 -0.0123680579 0.0289382646 -0.0676997788
#> [191] -0.0829685704 0.0913361642 -0.1677263016 0.0583460528 -0.1460134214
#> [196] -0.0310856586 -0.0746703597 -0.1022509758 -0.1225990697 0.1488375201
#> [201] 0.0052740285 -0.0341386212 0.0898286143 -0.0763505772 -0.1002586377
#> [206] -0.2061156565 0.0855342996 0.1489050065 0.0312485396 0.2016515089
#> [211] -0.1486783017 -0.1848724104 -0.1002480443 -0.0850933942 -0.1200507018
#> [216] -0.2850331440 0.0806932749 -0.2220850854 0.0204280193 0.2136469345
#> [221] -0.1123283773 0.1252394707 -0.0156727690 -0.1009782270 -0.0556109145
#> [226] -0.1308796902 0.1191671898 -0.0833079204 0.0754655133 -0.0483594969
#> [231] 0.3452444182 0.0278048100 0.0196231432 -0.0071351986 -0.0901817823
#> [236] -0.1130624543 0.1785738894 -0.1424971587 0.0119116490 -0.0605445604
#> [241] 0.1388965740 0.0058211439 -0.1906307267 -0.1557778425 0.0950278912
#> [246] -0.0320476440 0.0235857366 0.0019621167 0.1166777124 0.0783923647
#> [251] 0.1052237476 0.0738255959 -0.1124752787 -0.0135879275 0.0043464746
#> [256] -0.1420935714 -0.1266574750 -0.0500319157 -0.1137399801 0.0837622922
#> [261] 0.1175446625 0.0164485350 0.0670318068 -0.0935187004 -0.0030530430
#> [266] -0.0315397555 -0.1062266001 0.1355449754 -0.0817281073 -0.0750798024
#> [271] -0.1121844657 -0.1429173022 -0.1718556731 -0.1671506793 0.0019230996
#> [276] 0.0262264068 -0.0934476437 -0.0767544890 0.0786057095 -0.0461546771
#> [281] -0.2216849264 -0.1156165533 -0.0121561839 -0.1589623796 -0.2346428311
#> [286] 0.1798155724 -0.0117489891 0.0893192704 -0.1284030536 0.0901150055
#> [291] -0.1271697993 -0.2771324052 -0.1323272871 -0.0758473350 0.1810586276
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#> [1266] -0.0968301643 0.0053030935 -0.1088746791 0.1874889934 -0.1141405598
#> [1271] -0.0489330405 0.0076140087 0.0021217217 0.1606980096 0.0414786246
#> [1276] 0.1817099525 0.0001651565 0.0330344619 -0.0865539719 -0.1751792930
#> [1281] 0.0975850446 -0.0377486028 0.0595160239 -0.0719339837 0.0314528502
#> [1286] 0.0820131349 0.0516503676 0.1930143824 -0.0589980331 -0.0346987827
#> [1291] -0.0649259386 0.0380181630 -0.1069394618 -0.2253721065 0.0810207070
#> [1296] -0.1617089137 -0.3409038414 0.1586796330 0.0663823708 -0.1676234374
#> [1301] 0.1505489982 0.0260559693 0.1415807723 0.0879855626 0.0315066404
#> [1306] -0.1974126860 0.0598005978 -0.1562585147 0.0566109205 -0.1678085578
#> [1311] -0.0547643162 -0.0398486586 0.0041667553 -0.0263468865 0.1163813547
#> [1316] 0.1074880457 -0.0364020725 0.0387962756 0.0006046928 -0.0359962485
#> [1321] 0.1635450436 0.0937981831 0.1118268591 0.0419178869 -0.0625188604
#> [1326] 0.0903967197 -0.0478055281 -0.2321286270 -0.0609176407 0.0463039841
#> [1331] 0.1768937590 -0.1298406375 -0.0283866143 0.1656519469 -0.1376670644
#> [1336] 0.0277808024 0.0922248947 -0.1187189664 0.0007939101 -0.0485231429
#> [1341] 0.0423473590 0.3326685691 -0.0503565833 -0.0549442014 0.0124365559
#> [1346] 0.0411093631 0.0379191013 0.0298977598 -0.0839465204 0.0721447243
#> [1351] 0.0087923886 0.2107750448 0.1391129113 0.1000097827 -0.0531331330
#> [1356] -0.1013442195 0.1286287674 -0.0991835896 -0.1969505529 -0.1736728146
#> [1361] 0.0823732412 -0.0263857031 -0.0367330210 -0.1637599839 0.0264074937
#> [1366] -0.0963711910 -0.2063378401 -0.0043154033 -0.0232612529 -0.1181178617
#> [1371] 0.0424097442 -0.0022692445 -0.0116182559 -0.0317455787 -0.0203618330
#> [1376] -0.0097553559 -0.1831287694 -0.1258721088 0.0578960037 0.0723515573
#> [1381] 0.1967297244 0.0130127768 0.0728722778 0.0919964760 0.0192083785
#> [1386] 0.1089293914 -0.0259529779 -0.0136401299 0.1300067255 0.0668087543
#> [1391] -0.1055296053 0.1840716131 0.0354966012 -0.1433231449 0.0752100156
#> [1396] -0.1560141199 -0.2060680861 -0.1252385144 -0.1086967427 -0.0485427847
#> [1401] -0.0652204388 0.1107162747 -0.1377126979 0.0209598525 0.1318730751
#> [1406] 0.0549423437 -0.1159513204 -0.1551330978 -0.0721936998 0.0910963457
#> [1411] -0.1613520506 -0.1284469762 0.0054218017 -0.1128553892 0.0838044602
#> [1416] -0.2083982099 -0.0531697725 0.1799990966 0.1676656415 0.0451506731
#> [1421] 0.0096411165 -0.1780465808 0.0011302728 0.0510530202 0.0291624392
#> [1426] 0.0622310846 0.0642113726 -0.1118245602 -0.1398095577 0.0665007513
#> [1431] -0.0739026895 -0.2514461603 0.0981830665 0.1187797443 -0.1603152569
#> [1436] -0.1704077390 0.0660525946 0.0365751553 -0.2257042230 -0.2008967500
#> [1441] -0.1033259685 -0.2284892505 -0.1079197652 -0.0243270147 -0.0636945416
#> [1446] 0.1886126099 0.0287861660 0.0817742953 -0.0301537562 -0.0872619508
#> [1451] 0.0311029050 0.0981039571 -0.0175920609 -0.0472902312 -0.2081098362
#> [1456] 0.1102152162 0.0646486431 -0.0863219008 -0.1161865100 -0.2145843743
#> [1461] 0.0458764180 0.0877194444 -0.0435990474 0.0949853160 -0.3871039964
#> [1466] -0.1350942107 -0.0771785704 -0.1127021651 -0.0182102072 0.1032530954
#> [1471] 0.1485099513 0.1754138649 0.0468986917 0.2262302896 0.1184396944
#> [1476] 0.0316174763 -0.0613687861 -0.0824279418 -0.0282065064 0.0410960785
#> [1481] -0.1334753423 0.0748405542 0.0189530794 0.1206119808 -0.1176513270
#> [1486] -0.0090596786 -0.1451770096 -0.0785579124 -0.0622688935 0.0612317811
#> [1491] -0.2714767777 -0.0113235440 -0.2246522716 0.0320826982 -0.0812669012
#> [1496] -0.1738958015 -0.2009093685 -0.0055273382 0.1562436102 -0.2727121214
#> [1501] -0.0008174108 0.0682422877 -0.0683387138 0.1955814529 0.1635877965
#> [1506] 0.0963445008 0.2683880421 0.0455955979 -0.1346437128 0.0657663657
#> [1511] -0.1319558419 0.0510242116 -0.2329926673 -0.0898828577 0.0803672894
#> [1516] 0.1354578313 -0.0246422814 -0.1360068166 0.0373192963 0.0984640800
#> [1521] 0.0034617060 -0.0349812251 0.0158729087 0.1053886696 0.0243044248
#> [1526] -0.0251645567 0.0422056601 -0.1158280566 -0.2111326557 0.1322666352
#> [1531] -0.0273009562 0.0349829645 0.0700705336 -0.0535163672 0.1767752249
#> [1536] 0.0991714067 -0.2193613953 -0.0388475563 -0.0537615653 0.0264616223
#> [1541] -0.1335648940 0.2079433523 -0.0293728886 0.0384983650 -0.0701992046
#> [1546] 0.0968553953 0.0889328696 -0.1815725049 -0.0686156952 0.0211197566
#> [1551] -0.0054917423 -0.0895319942 -0.0071332957 -0.0009070917 0.2028334866
#> [1556] 0.0197322053 0.0313089002 -0.0793583545 0.0976192019 -0.0627421541
#> [1561] -0.0661649989 0.0470158139 -0.1065759671 0.0095730850 -0.0221046450
#> [1566] -0.0115198604 -0.0636390055 -0.0042125407 -0.0764254078 0.0847354424
#> [1571] 0.0300173445 -0.0771737803 0.1018485399 0.0024814824 -0.0722982653
#> [1576] 0.0311610171 -0.0425231456 -0.0355053242 0.0180366783 0.1671273274
#> [1581] -0.0255177896 -0.3187623707 -0.0307098302 0.1514696359 -0.1384457738
#> [1586] 0.0627848078 0.0792533703 0.0161956025 0.1317199677 -0.0415144445
#> [1591] 0.1903094386 -0.0702110087 -0.1340761104 -0.0199561824 0.1400879795
#> [1596] -0.0752508734 -0.0125901862 -0.1738417673 -0.1061252410 -0.1678471558
#> [1601] -0.1414097947 -0.1049982203 -0.0980065205 -0.1715275445 0.0316816303
#> [1606] 0.1803600395 -0.0117438349 0.3006894315 -0.2681234112 -0.0713276029
#> [1611] 0.1143556617 -0.0994799913 0.0201836119 0.1117400816 0.1092223269
#> [1616] -0.1221548113 -0.0452863865 0.1272868203 0.0487027636 -0.0160687656
#> [1621] -0.0437914607 0.1077943713 0.0822502106 0.1911128011 0.1121083489
#> [1626] 0.1685019554 -0.2310092306 0.1154582258 0.0665939420 0.0804121020
#> [1631] -0.0627312486 0.0101421845 -0.1327012258 0.0565880651 -0.0922877019
#> [1636] 0.1679342604 0.1777185149 -0.1659177069 0.0368335549 -0.0645142666
#> [1641] 0.0912088735 0.0488495052 0.0512864827 0.0563464321 -0.1246473461
#> [1646] -0.0757361011 0.0522281861 0.0823809983 -0.1730842540 0.0100664004
#> [1651] -0.0503006325 -0.0244207110 0.0515040746 0.1543634856 -0.1946252873
#> [1656] -0.0826016376 -0.1040498860 -0.1829797331 0.0294886639 0.0796203905
#> [1661] -0.3110377584 0.0222316513 0.0864632363 -0.0888512494 -0.0318808943
#> [1666] -0.0143808257 0.2146865759 -0.1246671801 -0.0926390186 0.0608792275
#> [1671] -0.1074001234 -0.0447216222 -0.0108123827 0.0866154791 0.1325227829
#> [1676] -0.0164568899 -0.1613753588 0.0944293322 -0.0826594141 -0.0675129436
#> [1681] -0.0587773202 -0.0355380302 0.1776814381 -0.0011074776 -0.1607692086
#> [1686] -0.0683033409 0.0699295916 0.0108879877 -0.0685042837 0.1184155905
#> [1691] 0.0869324973 -0.0634276996 0.0543500542 0.0495877951 0.1811030780
#> [1696] -0.0152647207 0.0441619908 0.0780109780 0.0198729382 0.0956440394
#> [1701] 0.0215604270 -0.0353113757 -0.2021668340 0.1736063554 0.1148283528
#> [1706] -0.0633439385 -0.0385215911 0.0458529895 0.2285874481 0.0082950899
#> [1711] -0.0500120657 -0.1630509207 0.0129266443 0.2156597823 -0.0075134772
#> [1716] -0.0077481775 0.0239838665 -0.0876313837 -0.0392343799 -0.0513107870
#> [1721] 0.1377209046 -0.0851518515 0.0272784405 -0.0322818937 -0.0098109127
#> [1726] 0.0503438212 -0.1378495464 -0.1986697457 -0.0133030527 0.1544553236
#> [1731] -0.0185370464 0.1230559242 0.0396265889 -0.0903168798 0.0086516756
#> [1736] 0.2174065360 -0.0669576919 -0.1055197964 -0.0419276630 -0.0337424707
#> [1741] -0.0606296700 0.1559946136 -0.0181170883 0.0126191427 -0.2039419739
#> [1746] 0.0847057503 -0.1126374550 0.0112864164 0.0098541935 -0.0122193573
#> [1751] -0.0002152624 0.1025627022 0.1578179738 0.2199863268 -0.0209412220
#> [1756] 0.1692981354 -0.0643774798 -0.0899030046 -0.0961696072 -0.0255439096
#> [1761] -0.1960490880 -0.2426546145 -0.3965361015 0.0486992299 0.1491295031
#> [1766] 0.0855070047 -0.0414992694 -0.1738315148 -0.0115378228 -0.1003924810
#>
#> $mod1_unimodal$sim_properties$feature$prop_outliers_feature
#> [1] 0
#>
#>
#>
#> $mod1_unimodal$resource_usage
#> $mod1_unimodal$resource_usage$memory_mb
#> NULL
#>
#> $mod1_unimodal$resource_usage$elapsed_time
#> NULL
#>
#>
#>
#> $mod2_unimodal
#> $mod2_unimodal$metrics_summary_table
#> Category Property
#> 1 Distributional Properties library_size
#> 2 Distributional Properties library_size
#> 3 Distributional Properties library_size
#> 4 Distributional Properties library_size
#> 5 Distributional Properties library_size
#> 6 Distributional Properties library_size
#> 7 Distributional Properties library_size
#> 8 Distributional Properties library_size
#> 9 Distributional Properties library_size
#> 10 Distributional Properties library_size
#> 11 Distributional Properties library_size
#> 12 Distributional Properties library_size
#> 13 Distributional Properties library_size
#> 14 Distributional Properties log_library_size
#> 15 Distributional Properties log_library_size
#> 16 Distributional Properties log_library_size
#> 17 Distributional Properties log_library_size
#> 18 Distributional Properties log_library_size
#> 19 Distributional Properties log_library_size
#> 20 Distributional Properties log_library_size
#> 21 Distributional Properties log_library_size
#> 22 Distributional Properties log_library_size
#> 23 Distributional Properties log_library_size
#> 24 Distributional Properties log_library_size
#> 25 Distributional Properties log_library_size
#> 26 Distributional Properties log_library_size
#> 27 Distributional Properties zero_fraction_cell
#> 28 Distributional Properties zero_fraction_cell
#> 29 Distributional Properties zero_fraction_cell
#> 30 Distributional Properties zero_fraction_cell
#> 31 Distributional Properties zero_fraction_cell
#> 32 Distributional Properties zero_fraction_cell
#> 33 Distributional Properties zero_fraction_cell
#> 34 Distributional Properties zero_fraction_cell
#> 35 Distributional Properties zero_fraction_cell
#> 36 Distributional Properties zero_fraction_cell
#> 37 Distributional Properties zero_fraction_cell
#> 38 Distributional Properties zero_fraction_cell
#> 39 Distributional Properties zero_fraction_cell
#> 40 Distributional Properties cell_cor
#> 41 Distributional Properties cell_cor
#> 42 Distributional Properties cell_cor
#> 43 Distributional Properties cell_cor
#> 44 Distributional Properties cell_cor
#> 45 Distributional Properties cell_cor
#> 46 Distributional Properties cell_cor
#> 47 Distributional Properties cell_cor
#> 48 Distributional Properties cell_cor
#> 49 Distributional Properties cell_cor
#> 50 Distributional Properties cell_cor
#> 51 Distributional Properties cell_cor
#> 52 Distributional Properties cell_cor
#> 53 Distributional Properties mean_expression
#> 54 Distributional Properties mean_expression
#> 55 Distributional Properties mean_expression
#> 56 Distributional Properties mean_expression
#> 57 Distributional Properties mean_expression
#> 58 Distributional Properties mean_expression
#> 59 Distributional Properties mean_expression
#> 60 Distributional Properties mean_expression
#> 61 Distributional Properties mean_expression
#> 62 Distributional Properties mean_expression
#> 63 Distributional Properties mean_expression
#> 64 Distributional Properties mean_expression
#> 65 Distributional Properties mean_expression
#> 66 Distributional Properties variance
#> 67 Distributional Properties variance
#> 68 Distributional Properties variance
#> 69 Distributional Properties variance
#> 70 Distributional Properties variance
#> 71 Distributional Properties variance
#> 72 Distributional Properties variance
#> 73 Distributional Properties variance
#> 74 Distributional Properties variance
#> 75 Distributional Properties variance
#> 76 Distributional Properties variance
#> 77 Distributional Properties variance
#> 78 Distributional Properties variance
#> 79 Distributional Properties sd
#> 80 Distributional Properties sd
#> 81 Distributional Properties sd
#> 82 Distributional Properties sd
#> 83 Distributional Properties sd
#> 84 Distributional Properties sd
#> 85 Distributional Properties sd
#> 86 Distributional Properties sd
#> 87 Distributional Properties sd
#> 88 Distributional Properties sd
#> 89 Distributional Properties sd
#> 90 Distributional Properties sd
#> 91 Distributional Properties sd
#> 92 Distributional Properties cv
#> 93 Distributional Properties cv
#> 94 Distributional Properties cv
#> 95 Distributional Properties cv
#> 96 Distributional Properties cv
#> 97 Distributional Properties cv
#> 98 Distributional Properties cv
#> 99 Distributional Properties cv
#> 100 Distributional Properties cv
#> 101 Distributional Properties cv
#> 102 Distributional Properties cv
#> 103 Distributional Properties cv
#> 104 Distributional Properties cv
#> 105 Distributional Properties zero_fraction_feature
#> 106 Distributional Properties zero_fraction_feature
#> 107 Distributional Properties zero_fraction_feature
#> 108 Distributional Properties zero_fraction_feature
#> 109 Distributional Properties zero_fraction_feature
#> 110 Distributional Properties zero_fraction_feature
#> 111 Distributional Properties zero_fraction_feature
#> 112 Distributional Properties zero_fraction_feature
#> 113 Distributional Properties zero_fraction_feature
#> 114 Distributional Properties zero_fraction_feature
#> 115 Distributional Properties zero_fraction_feature
#> 116 Distributional Properties zero_fraction_feature
#> 117 Distributional Properties zero_fraction_feature
#> 118 Distributional Properties dispersion
#> 119 Distributional Properties dispersion
#> 120 Distributional Properties dispersion
#> 121 Distributional Properties dispersion
#> 122 Distributional Properties dispersion
#> 123 Distributional Properties dispersion
#> 124 Distributional Properties dispersion
#> 125 Distributional Properties dispersion
#> 126 Distributional Properties dispersion
#> 127 Distributional Properties dispersion
#> 128 Distributional Properties dispersion
#> 129 Distributional Properties dispersion
#> 130 Distributional Properties dispersion
#> 131 Distributional Properties gene_cor
#> 132 Distributional Properties gene_cor
#> 133 Distributional Properties gene_cor
#> 134 Distributional Properties gene_cor
#> 135 Distributional Properties gene_cor
#> 136 Distributional Properties gene_cor
#> 137 Distributional Properties gene_cor
#> 138 Distributional Properties gene_cor
#> 139 Distributional Properties gene_cor
#> 140 Distributional Properties gene_cor
#> 141 Distributional Properties gene_cor
#> 142 Distributional Properties gene_cor
#> 143 Distributional Properties gene_cor
#> 144 Distributional Properties dropout_curve
#> 145 Distributional Properties dropout_curve
#> 146 Distributional Properties dropout_curve
#> 147 Distributional Properties excess_zero_weights
#> 148 Cellular Structure & Mixing manifold
#> 149 Cellular Structure & Mixing manifold
#> 150 Cellular Structure & Mixing manifold
#> 151 Cellular Structure & Mixing manifold
#> Metric Value
#> 1 MAD 2.000000e+00
#> 2 KS 1.750000e-01
#> 3 MAE 2.337500e+00
#> 4 RMSE 2.487469e+00
#> 5 OV 8.548144e-01
#> 6 Bhattacharyya 1.055641e-04
#> 7 Wasserstein 2.337500e+00
#> 8 ECDF_DiffArea 8.634259e-02
#> 9 Runs_Statistic -6.027311e+00
#> 10 Runs_PValue 8.335488e-10
#> 11 NN_Mismatch 1.937500e-01
#> 12 Between_Dataset_Silh_Global 2.188673e-02
#> 13 Between_Dataset_Silh_Local 1.184542e-02
#> 14 MAD 8.223810e-02
#> 15 KS 1.750000e-01
#> 16 MAE 7.991730e-02
#> 17 RMSE 8.389317e-02
#> 18 OV 8.600104e-01
#> 19 Bhattacharyya 1.155313e-05
#> 20 Wasserstein 7.991730e-02
#> 21 ECDF_DiffArea 7.889320e-02
#> 22 Runs_Statistic -6.027311e+00
#> 23 Runs_PValue 8.335488e-10
#> 24 NN_Mismatch 1.937500e-01
#> 25 Between_Dataset_Silh_Global 1.990590e-02
#> 26 Between_Dataset_Silh_Local 1.321356e-02
#> 27 MAD 3.333333e-02
#> 28 KS 2.125000e-01
#> 29 MAE 2.750000e-02
#> 30 RMSE 3.016160e-02
#> 31 OV 8.324202e-01
#> 32 Bhattacharyya 6.907067e-05
#> 33 Wasserstein 2.750000e-02
#> 34 ECDF_DiffArea 7.228261e-02
#> 35 Runs_Statistic -7.296219e+00
#> 36 Runs_PValue 1.479836e-13
#> 37 NN_Mismatch 2.812500e-01
#> 38 Between_Dataset_Silh_Global 2.566981e-02
#> 39 Between_Dataset_Silh_Local 9.339636e-02
#> 40 MAD 5.255500e-03
#> 41 KS 2.107220e-02
#> 42 MAE 5.411615e-03
#> 43 RMSE 6.510192e-03
#> 44 OV 9.754870e-01
#> 45 Bhattacharyya 8.144420e-05
#> 46 Wasserstein 5.411615e-03
#> 47 ECDF_DiffArea 5.453327e-03
#> 48 Runs_Statistic -1.291102e+00
#> 49 Runs_PValue 9.833414e-02
#> 50 NN_Mismatch 9.666667e-02
#> 51 Between_Dataset_Silh_Global 1.022845e-03
#> 52 Between_Dataset_Silh_Local 4.117895e-03
#> 53 MAD 3.899549e-01
#> 54 KS 1.953641e-01
#> 55 MAE 4.192301e-01
#> 56 RMSE 4.674793e-01
#> 57 OV 8.830703e-01
#> 58 Bhattacharyya 3.820189e-04
#> 59 Wasserstein 4.192301e-01
#> 60 ECDF_DiffArea 5.446491e-02
#> 61 Runs_Statistic 9.167309e-01
#> 62 Runs_PValue 8.203582e-01
#> 63 NN_Mismatch 8.333333e-03
#> 64 Between_Dataset_Silh_Global 4.985352e-03
#> 65 Between_Dataset_Silh_Local -6.819156e-03
#> 66 MAD 1.190987e+00
#> 67 KS 1.551413e-01
#> 68 MAE 1.407107e+00
#> 69 RMSE 1.790364e+00
#> 70 OV 8.503337e-01
#> 71 Bhattacharyya 1.270626e-04
#> 72 Wasserstein 1.407107e+00
#> 73 ECDF_DiffArea 4.556567e-02
#> 74 Runs_Statistic 0.000000e+00
#> 75 Runs_PValue 5.000000e-01
#> 76 NN_Mismatch 3.333333e-02
#> 77 Between_Dataset_Silh_Global 2.104421e-03
#> 78 Between_Dataset_Silh_Local -6.857180e-02
#> 79 MAD 8.057902e-02
#> 80 KS 1.551409e-01
#> 81 MAE 1.005223e-01
#> 82 RMSE 1.331213e-01
#> 83 OV 8.443327e-01
#> 84 Bhattacharyya 3.471324e-05
#> 85 Wasserstein 1.005223e-01
#> 86 ECDF_DiffArea 4.353510e-02
#> 87 Runs_Statistic 0.000000e+00
#> 88 Runs_PValue 5.000000e-01
#> 89 NN_Mismatch 3.333333e-02
#> 90 Between_Dataset_Silh_Global 1.850839e-03
#> 91 Between_Dataset_Silh_Local -6.764311e-02
#> 92 MAD 8.752987e+00
#> 93 KS 1.763639e-01
#> 94 MAE 8.864353e+00
#> 95 RMSE 1.046915e+01
#> 96 OV 8.747237e-01
#> 97 Bhattacharyya 2.185211e-04
#> 98 Wasserstein 8.864353e+00
#> 99 ECDF_DiffArea 5.520177e-02
#> 100 Runs_Statistic -1.833462e+00
#> 101 Runs_PValue 3.336697e-02
#> 102 NN_Mismatch 3.333333e-02
#> 103 Between_Dataset_Silh_Global 6.571696e-03
#> 104 Between_Dataset_Silh_Local -4.032646e-03
#> 105 MAD 2.500000e-02
#> 106 KS 2.000000e-01
#> 107 MAE 2.958333e-02
#> 108 RMSE 3.307189e-02
#> 109 OV 8.780065e-01
#> 110 Bhattacharyya 1.230865e-04
#> 111 Wasserstein 2.958333e-02
#> 112 ECDF_DiffArea 5.875000e-02
#> 113 Runs_Statistic -1.650116e+00
#> 114 Runs_PValue 4.945965e-02
#> 115 NN_Mismatch 5.000000e-02
#> 116 Between_Dataset_Silh_Global 7.445303e-03
#> 117 Between_Dataset_Silh_Local -7.637859e-03
#> 118 MAD 2.119535e-02
#> 119 KS 1.136364e-01
#> 120 MAE 2.544810e-02
#> 121 RMSE 2.978845e-02
#> 122 OV 8.875089e-01
#> 123 Bhattacharyya 1.193835e-04
#> 124 Wasserstein 2.544810e-02
#> 125 ECDF_DiffArea 4.276195e-02
#> 126 Runs_Statistic -5.500385e-01
#> 127 Runs_PValue 2.911465e-01
#> 128 NN_Mismatch 8.333333e-03
#> 129 Between_Dataset_Silh_Global -7.584339e-04
#> 130 Between_Dataset_Silh_Local 2.779098e-04
#> 131 MAD 1.838118e-03
#> 132 KS 1.759557e-02
#> 133 MAE 2.718776e-03
#> 134 RMSE 5.260476e-03
#> 135 OV 9.771475e-01
#> 136 Bhattacharyya 8.878612e-05
#> 137 Wasserstein 2.718776e-03
#> 138 ECDF_DiffArea 3.011545e-03
#> 139 Runs_Statistic -6.723876e-02
#> 140 Runs_PValue 4.731958e-01
#> 141 NN_Mismatch 5.000000e-02
#> 142 Between_Dataset_Silh_Global -2.362893e-04
#> 143 Between_Dataset_Silh_Local 7.834578e-03
#> 144 slope_error 2.751402e-02
#> 145 midpoint_error 8.887770e-03
#> 146 r2_discrepancy 5.809628e-03
#> 147 excess_zero_weight_discrepancy 8.480348e-04
#> 148 MMD 0.000000e+00
#> 149 Frechet_SingleCell_Distance 1.880820e+00
#> 150 Generative_Precision 9.750000e-01
#> 151 Generative_Recall 8.875000e-01
#>
#> $mod2_unimodal$cell_metrics
#> $mod2_unimodal$cell_metrics$library_size
#> $mod2_unimodal$cell_metrics$library_size$library_size_MAD
#> [1] 2
#>
#> $mod2_unimodal$cell_metrics$library_size$library_size_KS
#> [1] 0.175
#>
#> $mod2_unimodal$cell_metrics$library_size$library_size_MAE
#> [1] 2.3375
#>
#> $mod2_unimodal$cell_metrics$library_size$library_size_RMSE
#> [1] 2.487469
#>
#> $mod2_unimodal$cell_metrics$library_size$library_size_OV
#> [1] 0.8548144
#>
#> $mod2_unimodal$cell_metrics$library_size$library_size_Bhattacharyya
#> [1] 0.0001055641
#>
#> $mod2_unimodal$cell_metrics$library_size$library_size_Wasserstein
#> [1] 2.3375
#>
#> $mod2_unimodal$cell_metrics$library_size$library_size_ECDF_DiffArea
#> [1] 0.08634259
#>
#> $mod2_unimodal$cell_metrics$library_size$library_size_Runs_Statistic
#> [1] -6.027311
#>
#> $mod2_unimodal$cell_metrics$library_size$library_size_Runs_PValue
#> [1] 8.335488e-10
#>
#> $mod2_unimodal$cell_metrics$library_size$library_size_NN_Mismatch
#> [1] 0.19375
#>
#> $mod2_unimodal$cell_metrics$library_size$library_size_Between_Dataset_Silh_Global
#> [1] 0.02188673
#>
#> $mod2_unimodal$cell_metrics$library_size$library_size_Between_Dataset_Silh_Local
#> [1] 0.01184542
#>
#>
#> $mod2_unimodal$cell_metrics$log_library_size
#> $mod2_unimodal$cell_metrics$log_library_size$log_library_size_MAD
#> [1] 0.0822381
#>
#> $mod2_unimodal$cell_metrics$log_library_size$log_library_size_KS
#> [1] 0.175
#>
#> $mod2_unimodal$cell_metrics$log_library_size$log_library_size_MAE
#> [1] 0.0799173
#>
#> $mod2_unimodal$cell_metrics$log_library_size$log_library_size_RMSE
#> [1] 0.08389317
#>
#> $mod2_unimodal$cell_metrics$log_library_size$log_library_size_OV
#> [1] 0.8600104
#>
#> $mod2_unimodal$cell_metrics$log_library_size$log_library_size_Bhattacharyya
#> [1] 1.155313e-05
#>
#> $mod2_unimodal$cell_metrics$log_library_size$log_library_size_Wasserstein
#> [1] 0.0799173
#>
#> $mod2_unimodal$cell_metrics$log_library_size$log_library_size_ECDF_DiffArea
#> [1] 0.0788932
#>
#> $mod2_unimodal$cell_metrics$log_library_size$log_library_size_Runs_Statistic
#> [1] -6.027311
#>
#> $mod2_unimodal$cell_metrics$log_library_size$log_library_size_Runs_PValue
#> [1] 8.335488e-10
#>
#> $mod2_unimodal$cell_metrics$log_library_size$log_library_size_NN_Mismatch
#> [1] 0.19375
#>
#> $mod2_unimodal$cell_metrics$log_library_size$log_library_size_Between_Dataset_Silh_Global
#> [1] 0.0199059
#>
#> $mod2_unimodal$cell_metrics$log_library_size$log_library_size_Between_Dataset_Silh_Local
#> [1] 0.01321356
#>
#>
#> $mod2_unimodal$cell_metrics$zero_fraction_cell
#> $mod2_unimodal$cell_metrics$zero_fraction_cell$zero_fraction_cell_MAD
#> [1] 0.03333333
#>
#> $mod2_unimodal$cell_metrics$zero_fraction_cell$zero_fraction_cell_KS
#> [1] 0.2125
#>
#> $mod2_unimodal$cell_metrics$zero_fraction_cell$zero_fraction_cell_MAE
#> [1] 0.0275
#>
#> $mod2_unimodal$cell_metrics$zero_fraction_cell$zero_fraction_cell_RMSE
#> [1] 0.0301616
#>
#> $mod2_unimodal$cell_metrics$zero_fraction_cell$zero_fraction_cell_OV
#> [1] 0.8324202
#>
#> $mod2_unimodal$cell_metrics$zero_fraction_cell$zero_fraction_cell_Bhattacharyya
#> [1] 6.907067e-05
#>
#> $mod2_unimodal$cell_metrics$zero_fraction_cell$zero_fraction_cell_Wasserstein
#> [1] 0.0275
#>
#> $mod2_unimodal$cell_metrics$zero_fraction_cell$zero_fraction_cell_ECDF_DiffArea
#> [1] 0.07228261
#>
#> $mod2_unimodal$cell_metrics$zero_fraction_cell$zero_fraction_cell_Runs_Statistic
#> [1] -7.296219
#>
#> $mod2_unimodal$cell_metrics$zero_fraction_cell$zero_fraction_cell_Runs_PValue
#> [1] 1.479836e-13
#>
#> $mod2_unimodal$cell_metrics$zero_fraction_cell$zero_fraction_cell_NN_Mismatch
#> [1] 0.28125
#>
#> $mod2_unimodal$cell_metrics$zero_fraction_cell$zero_fraction_cell_Between_Dataset_Silh_Global
#> [1] 0.02566981
#>
#> $mod2_unimodal$cell_metrics$zero_fraction_cell$zero_fraction_cell_Between_Dataset_Silh_Local
#> [1] 0.09339636
#>
#>
#> $mod2_unimodal$cell_metrics$cell_cor
#> $mod2_unimodal$cell_metrics$cell_cor$cell_cor_MAD
#> [1] 0.0052555
#>
#> $mod2_unimodal$cell_metrics$cell_cor$cell_cor_KS
#> [1] 0.0210722
#>
#> $mod2_unimodal$cell_metrics$cell_cor$cell_cor_MAE
#> [1] 0.005411615
#>
#> $mod2_unimodal$cell_metrics$cell_cor$cell_cor_RMSE
#> [1] 0.006510192
#>
#> $mod2_unimodal$cell_metrics$cell_cor$cell_cor_OV
#> [1] 0.975487
#>
#> $mod2_unimodal$cell_metrics$cell_cor$cell_cor_Bhattacharyya
#> [1] 8.14442e-05
#>
#> $mod2_unimodal$cell_metrics$cell_cor$cell_cor_Wasserstein
#> [1] 0.005411615
#>
#> $mod2_unimodal$cell_metrics$cell_cor$cell_cor_ECDF_DiffArea
#> [1] 0.005453327
#>
#> $mod2_unimodal$cell_metrics$cell_cor$cell_cor_Runs_Statistic
#> [1] -1.291102
#>
#> $mod2_unimodal$cell_metrics$cell_cor$cell_cor_Runs_PValue
#> [1] 0.09833414
#>
#> $mod2_unimodal$cell_metrics$cell_cor$cell_cor_NN_Mismatch
#> [1] 0.09666667
#>
#> $mod2_unimodal$cell_metrics$cell_cor$cell_cor_Between_Dataset_Silh_Global
#> [1] 0.001022845
#>
#> $mod2_unimodal$cell_metrics$cell_cor$cell_cor_Between_Dataset_Silh_Local
#> [1] 0.004117895
#>
#>
#>
#> $mod2_unimodal$feature_metrics
#> $mod2_unimodal$feature_metrics$mean_expression
#> $mod2_unimodal$feature_metrics$mean_expression$mean_expression_MAD
#> [1] 0.3899549
#>
#> $mod2_unimodal$feature_metrics$mean_expression$mean_expression_KS
#> [1] 0.1953641
#>
#> $mod2_unimodal$feature_metrics$mean_expression$mean_expression_MAE
#> [1] 0.4192301
#>
#> $mod2_unimodal$feature_metrics$mean_expression$mean_expression_RMSE
#> [1] 0.4674793
#>
#> $mod2_unimodal$feature_metrics$mean_expression$mean_expression_OV
#> [1] 0.8830703
#>
#> $mod2_unimodal$feature_metrics$mean_expression$mean_expression_Bhattacharyya
#> [1] 0.0003820189
#>
#> $mod2_unimodal$feature_metrics$mean_expression$mean_expression_Wasserstein
#> [1] 0.4192301
#>
#> $mod2_unimodal$feature_metrics$mean_expression$mean_expression_ECDF_DiffArea
#> [1] 0.05446491
#>
#> $mod2_unimodal$feature_metrics$mean_expression$mean_expression_Runs_Statistic
#> [1] 0.9167309
#>
#> $mod2_unimodal$feature_metrics$mean_expression$mean_expression_Runs_PValue
#> [1] 0.8203582
#>
#> $mod2_unimodal$feature_metrics$mean_expression$mean_expression_NN_Mismatch
#> [1] 0.008333333
#>
#> $mod2_unimodal$feature_metrics$mean_expression$mean_expression_Between_Dataset_Silh_Global
#> [1] 0.004985352
#>
#> $mod2_unimodal$feature_metrics$mean_expression$mean_expression_Between_Dataset_Silh_Local
#> [1] -0.006819156
#>
#>
#> $mod2_unimodal$feature_metrics$variance
#> $mod2_unimodal$feature_metrics$variance$variance_MAD
#> [1] 1.190987
#>
#> $mod2_unimodal$feature_metrics$variance$variance_KS
#> [1] 0.1551413
#>
#> $mod2_unimodal$feature_metrics$variance$variance_MAE
#> [1] 1.407107
#>
#> $mod2_unimodal$feature_metrics$variance$variance_RMSE
#> [1] 1.790364
#>
#> $mod2_unimodal$feature_metrics$variance$variance_OV
#> [1] 0.8503337
#>
#> $mod2_unimodal$feature_metrics$variance$variance_Bhattacharyya
#> [1] 0.0001270626
#>
#> $mod2_unimodal$feature_metrics$variance$variance_Wasserstein
#> [1] 1.407107
#>
#> $mod2_unimodal$feature_metrics$variance$variance_ECDF_DiffArea
#> [1] 0.04556567
#>
#> $mod2_unimodal$feature_metrics$variance$variance_Runs_Statistic
#> [1] 0
#>
#> $mod2_unimodal$feature_metrics$variance$variance_Runs_PValue
#> [1] 0.5
#>
#> $mod2_unimodal$feature_metrics$variance$variance_NN_Mismatch
#> [1] 0.03333333
#>
#> $mod2_unimodal$feature_metrics$variance$variance_Between_Dataset_Silh_Global
#> [1] 0.002104421
#>
#> $mod2_unimodal$feature_metrics$variance$variance_Between_Dataset_Silh_Local
#> [1] -0.0685718
#>
#>
#> $mod2_unimodal$feature_metrics$sd
#> $mod2_unimodal$feature_metrics$sd$sd_MAD
#> [1] 0.08057902
#>
#> $mod2_unimodal$feature_metrics$sd$sd_KS
#> [1] 0.1551409
#>
#> $mod2_unimodal$feature_metrics$sd$sd_MAE
#> [1] 0.1005223
#>
#> $mod2_unimodal$feature_metrics$sd$sd_RMSE
#> [1] 0.1331213
#>
#> $mod2_unimodal$feature_metrics$sd$sd_OV
#> [1] 0.8443327
#>
#> $mod2_unimodal$feature_metrics$sd$sd_Bhattacharyya
#> [1] 3.471324e-05
#>
#> $mod2_unimodal$feature_metrics$sd$sd_Wasserstein
#> [1] 0.1005223
#>
#> $mod2_unimodal$feature_metrics$sd$sd_ECDF_DiffArea
#> [1] 0.0435351
#>
#> $mod2_unimodal$feature_metrics$sd$sd_Runs_Statistic
#> [1] 0
#>
#> $mod2_unimodal$feature_metrics$sd$sd_Runs_PValue
#> [1] 0.5
#>
#> $mod2_unimodal$feature_metrics$sd$sd_NN_Mismatch
#> [1] 0.03333333
#>
#> $mod2_unimodal$feature_metrics$sd$sd_Between_Dataset_Silh_Global
#> [1] 0.001850839
#>
#> $mod2_unimodal$feature_metrics$sd$sd_Between_Dataset_Silh_Local
#> [1] -0.06764311
#>
#>
#> $mod2_unimodal$feature_metrics$cv
#> $mod2_unimodal$feature_metrics$cv$cv_MAD
#> [1] 8.752987
#>
#> $mod2_unimodal$feature_metrics$cv$cv_KS
#> [1] 0.1763639
#>
#> $mod2_unimodal$feature_metrics$cv$cv_MAE
#> [1] 8.864353
#>
#> $mod2_unimodal$feature_metrics$cv$cv_RMSE
#> [1] 10.46915
#>
#> $mod2_unimodal$feature_metrics$cv$cv_OV
#> [1] 0.8747237
#>
#> $mod2_unimodal$feature_metrics$cv$cv_Bhattacharyya
#> [1] 0.0002185211
#>
#> $mod2_unimodal$feature_metrics$cv$cv_Wasserstein
#> [1] 8.864353
#>
#> $mod2_unimodal$feature_metrics$cv$cv_ECDF_DiffArea
#> [1] 0.05520177
#>
#> $mod2_unimodal$feature_metrics$cv$cv_Runs_Statistic
#> [1] -1.833462
#>
#> $mod2_unimodal$feature_metrics$cv$cv_Runs_PValue
#> [1] 0.03336697
#>
#> $mod2_unimodal$feature_metrics$cv$cv_NN_Mismatch
#> [1] 0.03333333
#>
#> $mod2_unimodal$feature_metrics$cv$cv_Between_Dataset_Silh_Global
#> [1] 0.006571696
#>
#> $mod2_unimodal$feature_metrics$cv$cv_Between_Dataset_Silh_Local
#> [1] -0.004032646
#>
#>
#> $mod2_unimodal$feature_metrics$zero_fraction_feature
#> $mod2_unimodal$feature_metrics$zero_fraction_feature$zero_fraction_feature_MAD
#> [1] 0.025
#>
#> $mod2_unimodal$feature_metrics$zero_fraction_feature$zero_fraction_feature_KS
#> [1] 0.2
#>
#> $mod2_unimodal$feature_metrics$zero_fraction_feature$zero_fraction_feature_MAE
#> [1] 0.02958333
#>
#> $mod2_unimodal$feature_metrics$zero_fraction_feature$zero_fraction_feature_RMSE
#> [1] 0.03307189
#>
#> $mod2_unimodal$feature_metrics$zero_fraction_feature$zero_fraction_feature_OV
#> [1] 0.8780065
#>
#> $mod2_unimodal$feature_metrics$zero_fraction_feature$zero_fraction_feature_Bhattacharyya
#> [1] 0.0001230865
#>
#> $mod2_unimodal$feature_metrics$zero_fraction_feature$zero_fraction_feature_Wasserstein
#> [1] 0.02958333
#>
#> $mod2_unimodal$feature_metrics$zero_fraction_feature$zero_fraction_feature_ECDF_DiffArea
#> [1] 0.05875
#>
#> $mod2_unimodal$feature_metrics$zero_fraction_feature$zero_fraction_feature_Runs_Statistic
#> [1] -1.650116
#>
#> $mod2_unimodal$feature_metrics$zero_fraction_feature$zero_fraction_feature_Runs_PValue
#> [1] 0.04945965
#>
#> $mod2_unimodal$feature_metrics$zero_fraction_feature$zero_fraction_feature_NN_Mismatch
#> [1] 0.05
#>
#> $mod2_unimodal$feature_metrics$zero_fraction_feature$zero_fraction_feature_Between_Dataset_Silh_Global
#> [1] 0.007445303
#>
#> $mod2_unimodal$feature_metrics$zero_fraction_feature$zero_fraction_feature_Between_Dataset_Silh_Local
#> [1] -0.007637859
#>
#>
#> $mod2_unimodal$feature_metrics$dispersion
#> $mod2_unimodal$feature_metrics$dispersion$dispersion_MAD
#> [1] 0.02119535
#>
#> $mod2_unimodal$feature_metrics$dispersion$dispersion_KS
#> [1] 0.1136364
#>
#> $mod2_unimodal$feature_metrics$dispersion$dispersion_MAE
#> [1] 0.0254481
#>
#> $mod2_unimodal$feature_metrics$dispersion$dispersion_RMSE
#> [1] 0.02978845
#>
#> $mod2_unimodal$feature_metrics$dispersion$dispersion_OV
#> [1] 0.8875089
#>
#> $mod2_unimodal$feature_metrics$dispersion$dispersion_Bhattacharyya
#> [1] 0.0001193835
#>
#> $mod2_unimodal$feature_metrics$dispersion$dispersion_Wasserstein
#> [1] 0.0254481
#>
#> $mod2_unimodal$feature_metrics$dispersion$dispersion_ECDF_DiffArea
#> [1] 0.04276195
#>
#> $mod2_unimodal$feature_metrics$dispersion$dispersion_Runs_Statistic
#> [1] -0.5500385
#>
#> $mod2_unimodal$feature_metrics$dispersion$dispersion_Runs_PValue
#> [1] 0.2911465
#>
#> $mod2_unimodal$feature_metrics$dispersion$dispersion_NN_Mismatch
#> [1] 0.008333333
#>
#> $mod2_unimodal$feature_metrics$dispersion$dispersion_Between_Dataset_Silh_Global
#> [1] -0.0007584339
#>
#> $mod2_unimodal$feature_metrics$dispersion$dispersion_Between_Dataset_Silh_Local
#> [1] 0.0002779098
#>
#>
#> $mod2_unimodal$feature_metrics$gene_cor
#> $mod2_unimodal$feature_metrics$gene_cor$gene_cor_MAD
#> [1] 0.001838118
#>
#> $mod2_unimodal$feature_metrics$gene_cor$gene_cor_KS
#> [1] 0.01759557
#>
#> $mod2_unimodal$feature_metrics$gene_cor$gene_cor_MAE
#> [1] 0.002718776
#>
#> $mod2_unimodal$feature_metrics$gene_cor$gene_cor_RMSE
#> [1] 0.005260476
#>
#> $mod2_unimodal$feature_metrics$gene_cor$gene_cor_OV
#> [1] 0.9771475
#>
#> $mod2_unimodal$feature_metrics$gene_cor$gene_cor_Bhattacharyya
#> [1] 8.878612e-05
#>
#> $mod2_unimodal$feature_metrics$gene_cor$gene_cor_Wasserstein
#> [1] 0.002718776
#>
#> $mod2_unimodal$feature_metrics$gene_cor$gene_cor_ECDF_DiffArea
#> [1] 0.003011545
#>
#> $mod2_unimodal$feature_metrics$gene_cor$gene_cor_Runs_Statistic
#> [1] -0.06723876
#>
#> $mod2_unimodal$feature_metrics$gene_cor$gene_cor_Runs_PValue
#> [1] 0.4731958
#>
#> $mod2_unimodal$feature_metrics$gene_cor$gene_cor_NN_Mismatch
#> [1] 0.05
#>
#> $mod2_unimodal$feature_metrics$gene_cor$gene_cor_Between_Dataset_Silh_Global
#> [1] -0.0002362893
#>
#> $mod2_unimodal$feature_metrics$gene_cor$gene_cor_Between_Dataset_Silh_Local
#> [1] 0.007834578
#>
#>
#>
#> $mod2_unimodal$bivariate_metrics
#> list()
#>
#> $mod2_unimodal$zero_probability_curve
#> slope_error midpoint_error r2_discrepancy
#> 0.027514025 0.008887770 0.005809628
#>
#> $mod2_unimodal$excess_zero_weights
#> $mod2_unimodal$excess_zero_weights$ref
#> $mod2_unimodal$excess_zero_weights$ref$mean_excess_zero_weight
#> [1] 0.001210918
#>
#> $mod2_unimodal$excess_zero_weights$ref$median_excess_zero_weight
#> [1] 0
#>
#> $mod2_unimodal$excess_zero_weights$ref$mean_zero_inflation
#> [1] 0.0009000037
#>
#> $mod2_unimodal$excess_zero_weights$ref$gene_excess_weights
#> [1] 0.010238908 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [7] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [13] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [19] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [25] 0.039992389 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [31] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [37] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [43] 0.000000000 0.000000000 0.000000000 0.000000000 0.018656244 0.000000000
#> [49] 0.000000000 0.000000000 0.003767533 0.000000000 0.000000000 0.000000000
#> [55] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#>
#>
#> $mod2_unimodal$excess_zero_weights$sim
#> $mod2_unimodal$excess_zero_weights$sim$mean_excess_zero_weight
#> [1] 0.002058953
#>
#> $mod2_unimodal$excess_zero_weights$sim$median_excess_zero_weight
#> [1] 0
#>
#> $mod2_unimodal$excess_zero_weights$sim$mean_zero_inflation
#> [1] 0.001469021
#>
#> $mod2_unimodal$excess_zero_weights$sim$gene_excess_weights
#> [1] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [7] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [13] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [19] 0.000000000 0.010152284 0.000000000 0.000000000 0.000000000 0.000000000
#> [25] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.008808498
#> [31] 0.000000000 0.000000000 0.051350526 0.000000000 0.000000000 0.000000000
#> [37] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [43] 0.000000000 0.000000000 0.000000000 0.000000000 0.053225852 0.000000000
#> [49] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [55] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#>
#>
#>
#> $mod2_unimodal$generative_manifold
#> $mod2_unimodal$generative_manifold$mmd
#> $mod2_unimodal$generative_manifold$mmd$mmd
#> [1] 0
#>
#> $mod2_unimodal$generative_manifold$mmd$mmd_squared
#> [1] -0.0006642915
#>
#> $mod2_unimodal$generative_manifold$mmd$bandwidth_sigma
#> [1] 4.636809
#>
#>
#> $mod2_unimodal$generative_manifold$frechet_distance
#> $mod2_unimodal$generative_manifold$frechet_distance$fsd
#> [1] 1.88082
#>
#> $mod2_unimodal$generative_manifold$frechet_distance$fsd_squared
#> [1] 3.537486
#>
#> $mod2_unimodal$generative_manifold$frechet_distance$mean_discrepancy
#> [1] 0.6466452
#>
#> $mod2_unimodal$generative_manifold$frechet_distance$cov_discrepancy
#> [1] 2.89084
#>
#>
#> $mod2_unimodal$generative_manifold$precision_recall
#> $mod2_unimodal$generative_manifold$precision_recall$generative_precision
#> [1] 0.975
#>
#> $mod2_unimodal$generative_manifold$precision_recall$generative_recall
#> [1] 0.8875
#>
#> $mod2_unimodal$generative_manifold$precision_recall$generative_f1
#> [1] 0.9291946
#>
#>
#>
#> $mod2_unimodal$ref_properties
#> $mod2_unimodal$ref_properties$cell
#> $mod2_unimodal$ref_properties$cell$library_size
#> [1] 25 22 23 28 24 25 20 17 32 30 28 28 16 18 27 21 17 23 14 30 23 27 30 25 34
#> [26] 22 18 17 30 28 25 29 31 26 24 23 22 22 34 30 36 34 38 36 33 28 34 29 25 33
#> [51] 36 26 37 30 32 38 34 31 35 27 29 32 31 35 36 35 27 26 26 38 38 41 34 34 27
#> [76] 39 30 37 30 35
#>
#> $mod2_unimodal$ref_properties$cell$log_library_size
#> [1] 3.258097 3.135494 3.178054 3.367296 3.218876 3.258097 3.044522 2.890372
#> [9] 3.496508 3.433987 3.367296 3.367296 2.833213 2.944439 3.332205 3.091042
#> [17] 2.890372 3.178054 2.708050 3.433987 3.178054 3.332205 3.433987 3.258097
#> [25] 3.555348 3.135494 2.944439 2.890372 3.433987 3.367296 3.258097 3.401197
#> [33] 3.465736 3.295837 3.218876 3.178054 3.135494 3.135494 3.555348 3.433987
#> [41] 3.610918 3.555348 3.663562 3.610918 3.526361 3.367296 3.555348 3.401197
#> [49] 3.258097 3.526361 3.610918 3.295837 3.637586 3.433987 3.496508 3.663562
#> [57] 3.555348 3.465736 3.583519 3.332205 3.401197 3.496508 3.465736 3.583519
#> [65] 3.610918 3.583519 3.332205 3.295837 3.295837 3.663562 3.663562 3.737670
#> [73] 3.555348 3.555348 3.332205 3.688879 3.433987 3.637586 3.433987 3.583519
#>
#> $mod2_unimodal$ref_properties$cell$tmm_factor
#> [1] 1.1183765 1.2708824 1.2156266 0.9985504 1.1649755 1.1183765 1.3979706
#> [8] 1.6446713 0.8737316 0.9319804 0.9985504 0.9985504 1.7474633 1.5533007
#> [15] 1.0355338 1.3314006 1.6446713 1.2156266 1.9971009 0.9319804 1.2156266
#> [22] 1.0355338 0.9319804 1.1183765 0.8223357 1.2708824 1.5533007 1.6446713
#> [29] 0.9319804 0.9985504 1.1183765 0.9641177 0.9019165 1.0753620 1.1649755
#> [36] 1.2156266 1.2708824 1.2708824 0.8223357 0.9319804 0.7766503 0.8223357
#> [43] 0.7357740 0.7766503 0.8472549 0.9985504 0.9985504 0.9641177 1.1183765
#> [50] 0.8472549 0.7766503 1.0753620 0.7556598 0.9319804 0.8737316 0.7357740
#> [57] 0.8223357 0.9019165 0.7988403 1.0355338 0.9641177 0.8737316 0.9019165
#> [64] 0.7988403 0.7766503 0.7988403 1.0355338 1.0753620 1.0753620 0.7357740
#> [71] 0.7357740 0.6819369 0.8223357 0.8223357 1.0355338 0.7169080 0.9319804
#> [78] 0.7556598 0.9319804 0.7988403
#>
#> $mod2_unimodal$ref_properties$cell$effective_library_size
#> [1] 27.95941 27.95941 27.95941 27.95941 27.95941 27.95941 27.95941 27.95941
#> [9] 27.95941 27.95941 27.95941 27.95941 27.95941 27.95941 27.95941 27.95941
#> [17] 27.95941 27.95941 27.95941 27.95941 27.95941 27.95941 27.95941 27.95941
#> [25] 27.95941 27.95941 27.95941 27.95941 27.95941 27.95941 27.95941 27.95941
#> [33] 27.95941 27.95941 27.95941 27.95941 27.95941 27.95941 27.95941 27.95941
#> [41] 27.95941 27.95941 27.95941 27.95941 27.95941 27.95941 33.95071 27.95941
#> [49] 27.95941 27.95941 27.95941 27.95941 27.95941 27.95941 27.95941 27.95941
#> [57] 27.95941 27.95941 27.95941 27.95941 27.95941 27.95941 27.95941 27.95941
#> [65] 27.95941 27.95941 27.95941 27.95941 27.95941 27.95941 27.95941 27.95941
#> [73] 27.95941 27.95941 27.95941 27.95941 27.95941 27.95941 27.95941 27.95941
#>
#> $mod2_unimodal$ref_properties$cell$zero_fraction_cell
#> [1] 0.6166667 0.6666667 0.6833333 0.5666667 0.6333333 0.6500000 0.6833333
#> [8] 0.7166667 0.5333333 0.5666667 0.5833333 0.5666667 0.7500000 0.7333333
#> [15] 0.5500000 0.6833333 0.7166667 0.6500000 0.8000000 0.6166667 0.6666667
#> [22] 0.6166667 0.5166667 0.5833333 0.5000000 0.6833333 0.7166667 0.7166667
#> [29] 0.5666667 0.6166667 0.6333333 0.5833333 0.5666667 0.6166667 0.6333333
#> [36] 0.6333333 0.6666667 0.6833333 0.5500000 0.5500000 0.5500000 0.5666667
#> [43] 0.5000000 0.5000000 0.5500000 0.6000000 0.5833333 0.5833333 0.6500000
#> [50] 0.5500000 0.4833333 0.6166667 0.4500000 0.5666667 0.5500000 0.5166667
#> [57] 0.5500000 0.5333333 0.5666667 0.6500000 0.5500000 0.5666667 0.5333333
#> [64] 0.5000000 0.5166667 0.4833333 0.6000000 0.6166667 0.6000000 0.5500000
#> [71] 0.4833333 0.4166667 0.5166667 0.5833333 0.6000000 0.5000000 0.5500000
#> [78] 0.5000000 0.5666667 0.5000000
#>
#> $mod2_unimodal$ref_properties$cell$detection_freq_cell
#> [1] 0.3833333 0.3333333 0.3166667 0.4333333 0.3666667 0.3500000 0.3166667
#> [8] 0.2833333 0.4666667 0.4333333 0.4166667 0.4333333 0.2500000 0.2666667
#> [15] 0.4500000 0.3166667 0.2833333 0.3500000 0.2000000 0.3833333 0.3333333
#> [22] 0.3833333 0.4833333 0.4166667 0.5000000 0.3166667 0.2833333 0.2833333
#> [29] 0.4333333 0.3833333 0.3666667 0.4166667 0.4333333 0.3833333 0.3666667
#> [36] 0.3666667 0.3333333 0.3166667 0.4500000 0.4500000 0.4500000 0.4333333
#> [43] 0.5000000 0.5000000 0.4500000 0.4000000 0.4166667 0.4166667 0.3500000
#> [50] 0.4500000 0.5166667 0.3833333 0.5500000 0.4333333 0.4500000 0.4833333
#> [57] 0.4500000 0.4666667 0.4333333 0.3500000 0.4500000 0.4333333 0.4666667
#> [64] 0.5000000 0.4833333 0.5166667 0.4000000 0.3833333 0.4000000 0.4500000
#> [71] 0.5166667 0.5833333 0.4833333 0.4166667 0.4000000 0.5000000 0.4500000
#> [78] 0.5000000 0.4333333 0.5000000
#>
#> $mod2_unimodal$ref_properties$cell$cell_cor
#> [1] 9.375148e-03 -2.191947e-02 -1.802553e-01 3.970273e-02 9.932197e-02
#> [6] -6.864976e-03 -1.074312e-01 1.498400e-01 -6.853478e-02 2.028916e-01
#> [11] -1.599475e-01 -3.497504e-02 3.485372e-02 3.679359e-01 1.022371e-01
#> [16] -2.351881e-02 1.185535e-01 -8.464737e-02 2.781032e-01 3.508695e-03
#> [21] 3.414363e-02 1.884074e-02 1.116251e-01 -1.047442e-01 -4.426572e-02
#> [26] -5.072495e-03 1.248548e-01 -1.148706e-01 -1.498378e-01 -6.193528e-02
#> [31] 1.917373e-01 -1.436482e-01 9.807002e-02 -5.135964e-02 -1.384989e-01
#> [36] -6.752750e-02 -1.323353e-01 5.369906e-02 1.472718e-02 2.612875e-02
#> [41] 4.531361e-02 4.552460e-02 -9.753376e-02 -1.291072e-01 2.605341e-02
#> [46] 2.488819e-02 9.606082e-02 4.701623e-02 7.156169e-02 2.400517e-02
#> [51] 1.682835e-01 -1.648166e-01 2.954806e-02 -9.571860e-02 1.211638e-01
#> [56] -1.704771e-02 7.334426e-02 -1.558938e-01 1.139847e-01 1.567660e-01
#> [61] 1.645959e-01 1.800748e-01 -1.229603e-02 5.867321e-02 8.444403e-02
#> [66] -2.384037e-01 1.525374e-02 -1.998416e-02 -2.122552e-01 2.494293e-01
#> [71] 2.210019e-01 6.618612e-02 3.452243e-01 -2.783059e-01 -4.322300e-02
#> [76] -4.302617e-02 -7.145666e-02 2.486635e-01 -1.116150e-01 -6.402894e-03
#> [81] 3.162608e-01 2.188623e-01 2.160352e-01 4.821223e-03 -8.047967e-02
#> [86] -3.327938e-02 2.464136e-01 8.419964e-02 1.123160e-03 -7.993376e-02
#> [91] -1.707955e-02 1.376613e-01 7.053983e-02 3.439202e-02 2.227485e-02
#> [96] 1.010797e-01 1.615574e-02 1.148102e-01 -1.226698e-01 -1.223293e-01
#> [101] 1.478322e-01 -2.564870e-02 2.450234e-01 -4.630082e-02 -8.540687e-02
#> [106] 6.299869e-02 3.735402e-01 -9.065266e-02 1.966493e-01 1.540086e-01
#> [111] -6.606586e-02 -1.454468e-01 -1.197659e-01 -1.082776e-02 -1.348352e-01
#> [116] 3.812045e-02 -2.405376e-02 2.276798e-04 -1.566624e-01 1.072888e-02
#> [121] -2.512099e-02 -3.893898e-02 4.189767e-02 2.705127e-02 -3.297122e-02
#> [126] 4.459099e-02 4.093089e-02 -3.132695e-01 -1.350550e-01 -2.923181e-02
#> [131] -3.201040e-02 -8.361302e-02 -1.945302e-01 4.714579e-02 1.747115e-01
#> [136] 6.580546e-03 9.142398e-02 5.822577e-02 8.487024e-02 6.368645e-02
#> [141] 1.000277e-01 1.028019e-01 -9.257774e-02 -1.602549e-01 1.054747e-01
#> [146] -1.605663e-02 -6.926740e-02 9.821848e-02 -1.222040e-02 1.462393e-01
#> [151] 1.068339e-01 -5.455824e-02 8.974276e-02 -2.310692e-01 7.567531e-02
#> [156] -5.296500e-02 1.777975e-01 7.630818e-02 1.651984e-01 -8.434249e-02
#> [161] -2.764393e-02 -1.250862e-01 8.960895e-02 -4.791533e-03 -2.770033e-02
#> [166] 2.585604e-01 1.796448e-01 -1.112851e-01 9.446348e-02 -2.764393e-02
#> [171] 1.033885e-01 -5.955529e-02 -1.008237e-01 -8.228692e-03 1.227553e-01
#> [176] -5.007463e-03 1.182809e-01 1.462820e-01 -3.340046e-02 8.091009e-02
#> [181] -3.372897e-01 -3.430911e-02 -1.027779e-01 1.748410e-01 4.401263e-02
#> [186] -5.042212e-02 -2.152170e-01 -1.645282e-01 2.488504e-01 2.462307e-01
#> [191] 1.145530e-01 2.991624e-02 -9.571354e-02 -9.490800e-02 2.415043e-02
#> [196] 7.578134e-02 -5.457812e-02 -4.528958e-02 -1.016671e-01 3.260842e-01
#> [201] -1.444260e-01 5.854211e-02 1.504516e-01 -2.029093e-01 -9.845310e-02
#> [206] -1.336208e-02 -4.528958e-02 -1.084143e-01 1.617336e-02 -2.563573e-01
#> [211] 2.850300e-02 1.026362e-01 -1.694387e-02 -1.215474e-01 4.083482e-02
#> [216] -6.556252e-02 -7.384251e-02 -2.082014e-01 1.435959e-01 -1.147016e-01
#> [221] -1.658726e-01 2.227000e-01 -3.161794e-02 -1.230014e-01 4.629891e-02
#> [226] -4.397925e-04 2.393692e-01 1.430103e-01 -2.036455e-01 1.038888e-01
#> [231] 1.297201e-03 -5.173163e-02 7.787327e-02 3.977669e-01 -7.659644e-02
#> [236] -1.169807e-01 4.124030e-03 2.168502e-02 -9.795056e-02 1.037531e-01
#> [241] 4.204273e-02 3.111102e-02 1.430681e-02 -1.841701e-01 1.514940e-01
#> [246] 2.761443e-01 -4.440865e-02 -2.571202e-02 7.693686e-02 1.650381e-01
#> [251] -1.407241e-01 -1.296355e-01 -1.848573e-01 -3.444155e-02 -1.115182e-01
#> [256] 1.244594e-01 -2.742266e-01 -1.669086e-01 -2.608445e-01 1.930919e-02
#> [261] -3.813617e-01 1.234427e-01 -1.046470e-01 -1.260348e-01 -4.945069e-02
#> [266] -1.803997e-01 -1.394156e-01 5.096472e-02 9.623578e-03 1.437921e-01
#> [271] -3.515420e-03 -2.582854e-01 -1.187224e-01 -1.194555e-01 9.913819e-02
#> [276] 1.454839e-01 1.579057e-01 3.730589e-02 1.848696e-01 3.771145e-02
#> [281] 1.036402e-01 2.016216e-01 -1.781765e-02 9.589872e-02 1.528626e-01
#> [286] 1.814402e-02 1.132784e-01 9.093848e-02 -9.468720e-02 1.460524e-01
#> [291] -2.823033e-02 8.326631e-02 -3.835949e-02 8.841304e-02 -1.930717e-01
#> [296] -1.847135e-01 6.901604e-02 -9.817613e-02 2.223753e-01 -1.972196e-02
#> [301] 2.671166e-02 9.858240e-02 -4.415287e-02 3.885031e-02 -1.225137e-01
#> [306] 3.251280e-02 9.386451e-02 -1.246809e-01 -1.333491e-01 1.517136e-01
#> [311] 1.346531e-01 2.241364e-03 1.147477e-01 -1.348063e-02 1.806924e-01
#> [316] -8.476643e-02 2.493618e-02 2.196729e-01 1.306416e-01 8.568794e-02
#> [321] 1.792632e-01 -5.870767e-02 -7.662672e-02 9.116846e-02 -2.556560e-01
#> [326] -4.052866e-02 4.955866e-02 -8.532056e-02 8.090334e-03 -1.123040e-01
#> [331] -1.535123e-01 1.339969e-01 -1.527419e-01 8.975878e-02 -7.342061e-02
#> [336] -2.000612e-02 1.748820e-02 7.332527e-02 -6.063958e-02 1.605844e-02
#> [341] 2.094902e-02 8.864485e-02 1.796558e-01 -2.521103e-02 2.263399e-01
#> [346] 1.210445e-01 2.140424e-01 -2.476807e-01 -1.495809e-02 -2.099277e-01
#> [351] 3.318706e-01 3.391333e-01 1.038373e-02 -1.047442e-01 1.967365e-02
#> [356] -5.072495e-03 -1.426912e-01 1.188316e-01 1.504788e-02 -3.376375e-02
#> [361] 2.435984e-03 2.092987e-01 -1.155827e-01 7.809605e-02 -1.358908e-01
#> [366] 2.602087e-02 -1.842553e-02 1.504788e-02 -8.589664e-02 -1.351481e-01
#> [371] 1.261795e-01 1.281048e-01 5.859559e-02 -9.795056e-02 -1.562958e-01
#> [376] -7.192404e-03 -4.987237e-02 3.136664e-02 -1.125782e-02 1.333616e-01
#> [381] -6.668033e-02 1.171415e-01 -5.043209e-03 -1.641003e-01 3.718352e-01
#> [386] -6.577157e-02 -2.485095e-01 1.920185e-01 -1.216753e-02 1.721724e-01
#> [391] 1.658256e-01 3.950716e-02 2.382967e-01 -2.117053e-02 7.064354e-02
#> [396] 3.500497e-02 3.464029e-02 -1.265525e-01 3.790426e-02 -9.028123e-03
#> [401] -1.635197e-02 -1.669900e-01 -4.753022e-02 2.634636e-01 2.608982e-01
#> [406] -2.923181e-02 -8.197797e-03 1.155723e-02 3.564862e-02 -1.414370e-01
#> [411] 1.296604e-01 2.538915e-02 -2.647224e-01 -2.125412e-01 4.601573e-03
#> [416] -8.591265e-02 4.142618e-02 -1.432245e-01 -3.786508e-02 8.747752e-02
#> [421] 1.835078e-01 1.929613e-01 1.180784e-01 3.294552e-02 1.684221e-01
#> [426] 2.257298e-02 2.355309e-02 5.476814e-02 1.407808e-01 6.021124e-02
#> [431] 1.546954e-01 2.945356e-02 -6.309058e-02 -7.581879e-02 -5.286081e-02
#> [436] 1.268970e-01 2.728932e-01 1.025082e-01 -8.642578e-02 -2.568975e-02
#> [441] -2.697628e-01 -4.898340e-03 1.516203e-02 -1.824316e-01 4.263608e-02
#> [446] -2.322026e-01 6.677839e-02 3.663387e-02 1.171014e-01 1.682339e-01
#> [451] -1.512796e-01 3.158757e-02 -4.154281e-02 -3.167922e-02 -6.870647e-02
#> [456] 1.685167e-02 1.039029e-01 2.073252e-04 4.850429e-02 -8.742996e-02
#> [461] 1.128547e-01 -4.748704e-02 -1.566744e-01 2.239425e-01 -2.621259e-03
#> [466] 1.932550e-01 1.324252e-01 1.249371e-01 -6.649061e-02 -5.050199e-02
#> [471] -1.060418e-01 8.256110e-02 -1.471302e-01 3.328751e-01 1.106203e-01
#> [476] -1.089113e-01 1.722511e-01 1.459714e-01 2.241187e-02 2.443223e-02
#> [481] -2.604921e-02 5.885208e-02 1.590287e-01 -2.639143e-01 -2.354208e-02
#> [486] 4.625511e-02 9.795792e-02 4.665671e-02 1.087044e-01 -4.569727e-02
#> [491] -2.041255e-01 -8.558143e-02 2.268257e-01 -1.125125e-01 -2.974379e-01
#> [496] 9.000991e-02 6.480960e-02 7.009945e-02 1.708962e-01 1.247455e-01
#> [501] -2.920195e-02 1.788709e-01 -1.182034e-01 6.065779e-02 2.989236e-01
#> [506] 3.956898e-02 -1.762928e-01 6.818841e-02 -1.542960e-01 3.881743e-02
#> [511] -2.593274e-01 8.461822e-03 -3.045021e-01 1.164979e-01 -4.789526e-02
#> [516] 1.012569e-01 2.209188e-01 1.703189e-01 8.782335e-02 -1.430411e-01
#> [521] 1.687427e-01 -5.970734e-02 1.038885e-01 -1.043314e-01 -1.587800e-02
#> [526] -4.293273e-02 -6.693095e-02 7.888456e-02 -1.248263e-02 2.578652e-01
#> [531] -8.421783e-03 1.238474e-01 1.932918e-04 -4.363489e-02 2.250003e-02
#> [536] 3.878353e-02 4.117109e-02 -1.849079e-02 3.997137e-03 -8.703801e-02
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#> [2001] -6.473395e-02 2.104929e-01 2.355845e-01 2.484450e-01 2.983773e-01
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#> [3066] -6.051082e-02 1.429430e-01 2.210879e-01 2.927203e-02 6.626049e-03
#> [3071] -8.495368e-02 1.338304e-01 3.060350e-01 1.406143e-01 1.813627e-01
#> [3076] 1.929590e-01 9.904391e-02 1.786825e-01 2.185596e-01 2.825200e-01
#> [3081] 2.075996e-01 1.777852e-01 1.894682e-01 3.898529e-02 1.375190e-01
#> [3086] -8.749078e-02 -1.580316e-01 1.614762e-01 1.788266e-02 -3.923266e-02
#> [3091] 2.227292e-01 -1.082777e-01 2.357469e-02 -5.186943e-02 -1.125856e-01
#> [3096] -7.018982e-02 1.644939e-01 -1.788266e-02 5.735340e-02 8.454221e-02
#> [3101] -5.857515e-02 7.715259e-02 1.302882e-01 9.158645e-02 -2.724179e-02
#> [3106] 5.380076e-02 1.213338e-01 1.252875e-01 8.345243e-02 9.500048e-02
#> [3111] -1.660894e-02 8.074878e-03 -5.841193e-02 2.200828e-01 1.844415e-01
#> [3116] 7.736027e-03 1.017225e-02 -3.035262e-02 1.376324e-01 9.687894e-02
#> [3121] 6.284823e-02 -3.945184e-02 1.271283e-01 2.635447e-01 6.203228e-03
#> [3126] 1.672650e-01 5.240554e-02 4.392205e-03 7.533001e-02 1.794047e-01
#> [3131] -9.187795e-02 -3.473909e-02 9.113047e-02 -3.242433e-02 -8.933937e-02
#> [3136] -6.542739e-02 2.595347e-01 3.904726e-02 2.790634e-02 1.340993e-01
#> [3141] 1.464463e-01 3.167392e-01 1.352076e-02 9.991700e-02 1.030303e-01
#> [3146] 6.887399e-02 5.259174e-02 -6.972036e-02 -3.607058e-02 1.525247e-01
#> [3151] 1.679012e-01 -9.213819e-02 1.435485e-01 1.181736e-01 -3.194011e-01
#> [3156] -5.350632e-02 2.979448e-01 7.027334e-02 1.342483e-01 2.634185e-01
#>
#> $mod2_unimodal$ref_properties$cell$pca_dist
#> [1] 60.72218 69.98899 72.40195 71.75906 71.83668 65.60412 54.20614 72.16389
#> [9] 72.76955 63.52873 62.45292 63.85796 71.92878 60.30815 65.03161 67.74766
#> [17] 63.44688 73.14246 71.57550 54.96797 64.58337 69.00996 66.54232 49.94440
#> [25] 66.49262 66.22532 46.27631 66.48809 66.18492 61.88663 52.20131 69.79137
#> [33] 66.76203 44.30865 64.67148 68.81261 55.22923 68.92676 56.95783 77.30684
#> [41] 55.61727 65.42963 70.31273 64.59589 57.90757 69.49961 72.61564 59.51108
#> [49] 69.44091 65.49707 63.28200 53.64118 56.75714 63.69655 65.12816 45.26188
#> [57] 67.61120 66.61060 56.31991 68.10217 64.81902 61.90094 65.91562 53.21042
#> [65] 69.92203 62.45669 66.18703 64.25377 62.29793 79.97188 72.42604 66.69015
#> [73] 70.15041 76.21364 76.65415 72.68657 72.47573 64.44052 61.11717 74.69974
#> [81] 60.52539 57.95246 73.42710 61.31520 54.62936 67.42606 63.18867 60.45292
#> [89] 63.47975 66.75970 63.61357 60.56180 47.50172 63.42500 66.43094 60.66902
#> [97] 74.04512 68.99608 61.85921 68.39845 72.55007 64.51580 58.81171 62.98899
#> [105] 62.85993 59.88772 68.76352 61.36996 67.31985 69.65975 49.70501 54.57063
#> [113] 76.07559 60.94357 59.29113 64.29494 68.65834 53.05285 60.38172 62.75625
#> [121] 56.15165 66.39531 66.13814 51.63570 59.09842 58.79323 73.20990 74.82042
#> [129] 55.74301 65.07011 70.15225 66.60577 65.71765 65.49106 59.23102 76.28878
#> [137] 60.43023 70.35325 77.71401 59.26035 67.64313 69.40355 64.59476 65.02364
#> [145] 54.05208 62.76942 71.55522 77.24821 74.33464 54.50789 67.49781 61.94740
#> [153] 59.13424 66.82770 66.36222 62.89962 55.92435 73.76341 74.34448 68.10407
#> [161] 73.42134 65.39127 57.12565 69.10386 60.14489 72.79581 79.59588 43.61946
#> [169] 62.63943 74.57903 63.06196 66.62216 64.02752 69.59240 71.50474 64.41678
#> [177] 42.28170 63.82330 61.46193 70.39740 68.48408 73.76925 71.57028 62.16858
#> [185] 65.19656 64.55347 63.74384 64.38083 72.35475 61.23238 61.01893 71.08298
#> [193] 66.50610 55.26489 70.75570 83.95059 66.76727 71.61078 67.93173 74.94971
#> [201] 73.43015 75.86901 57.30911 64.56597 70.39592 65.01033 69.78491 59.71414
#> [209] 73.16800 67.42597 66.23553 67.76873 71.20124 63.68115 68.28782 63.98074
#> [217] 80.49477 67.97946 56.09923 71.48433 67.14876 67.39992 69.91878 61.17379
#> [225] 79.64202 68.27564 74.62737 67.01747 70.85840 65.51310 57.13608 70.59689
#> [233] 69.64003 69.94743 66.48837 50.57054 59.55684 69.90642 79.54806 68.50330
#> [241] 64.43435 61.44845 61.14031 59.81145 69.60922 62.52608 70.30499 67.13962
#> [249] 63.81353 71.45576 74.13382 74.20363 72.01569 84.61092 69.79296 68.47371
#> [257] 73.80197 74.44653 62.69807 76.18459 75.12038 75.09827 69.51494 63.51180
#> [265] 72.25733 76.80771 58.56935 69.19019 79.28297 59.51177 71.07569 78.16299
#> [273] 80.66777 69.60858 64.57233 70.19818 82.34176 73.07998 71.01209 70.20691
#> [281] 84.24644 77.95886 70.92438 82.07258 61.95403 72.03123 72.62659 36.38368
#> [289] 82.53662 78.05360 74.73013 74.10028 72.53511 65.00229 76.66695 74.63680
#> [297] 76.16848 66.25717 67.69805 74.70551 74.18100 74.29442 63.74518 81.05817
#> [305] 63.64758 72.69694 82.62152 75.28663 63.49067 64.22199 62.70681 69.24311
#> [313] 65.30390 63.04162 68.53905 63.71224 62.21840 56.53517 50.57487 63.92921
#> [321] 62.59009 66.05825 65.90938 64.32324 73.98656 63.53007 58.63357 74.81858
#> [329] 74.75481 58.23697 69.87931 71.68098 70.93952 70.93089 62.69404 72.30763
#> [337] 73.98312 75.62504 68.94915 68.06892 71.24508 65.09698 57.88058 68.75779
#> [345] 77.43487 69.64578 67.08963 78.76103 70.02211 77.41621 68.53649 70.09569
#> [353] 75.06725 62.97501 66.67459 73.30962 74.05480 72.82056 73.47355 54.94969
#> [361] 75.77845 75.87723 70.81156 60.83762 72.80507 82.79192 81.48856 55.96970
#> [369] 74.10813 69.30030 59.91611 64.46577 65.55421 70.85647 74.57175 63.63014
#> [377] 84.84251 71.65908 70.73220 66.79273 58.86113 65.71460 79.14448 70.79349
#> [385] 75.83755 68.91501 60.24669 74.25576 66.35243 55.82477 61.57930 64.96164
#> [393] 65.56789 63.16586 72.98828 66.23581 62.01355 57.81770 66.13597 62.88774
#> [401] 72.06240 69.69064 79.40804 63.91724 62.76700 74.14197 78.55396 78.32280
#> [409] 65.55323 82.78942 76.87920 66.18717 72.45922 63.61825 77.27734 43.34744
#> [417] 61.48852 79.05189 55.18920 64.75284 75.50492 73.80588 75.21152 79.84063
#> [425] 74.86600 84.51092 83.22217 67.86846 79.46772 83.11887 83.55667 71.81575
#> [433] 79.05409 61.08972 79.57303 71.85383 68.94559 74.47164 78.65616 73.39740
#> [441] 62.19081 66.98092 72.03097 78.11415 73.93351 67.09354 63.47031 70.16286
#> [449] 75.34200 70.46437 75.16807 69.58937 74.66000 68.76799 78.22987 76.52520
#> [457] 76.00512 74.44348 74.78360 67.34930 76.66287 72.69002 70.89521 54.09493
#> [465] 52.36378 69.36849 57.60245 75.74011 61.69123 75.99092 66.36814 63.41531
#> [473] 67.28050 68.15692 71.20375 73.85511 73.13397 64.33128 60.43188 60.98545
#> [481] 52.94799 80.40751 69.23790 65.50076 79.32703 68.88588 71.20425 76.20672
#> [489] 66.37447 68.21190 69.98195 70.30286 83.85154 76.95732 74.71946 74.27297
#> [497] 69.06192 76.75733 77.62274 57.57601 81.30121 67.07184 87.13588 60.14559
#> [505] 63.93760 80.35365 79.08723 73.73167 74.88083 65.71095 72.51035 76.76939
#> [513] 83.40314 73.25120 70.93072 77.54896 80.98329 75.80720 79.53994 64.34597
#> [521] 72.29832 69.57670 66.12100 82.60512 73.23494 81.14970 68.49599 77.78237
#> [529] 71.60618 67.84461 54.99876 65.56516 73.88673 69.19945 56.69092 71.46479
#> [537] 71.25641 60.57330 71.85898 69.66998 74.33174 72.87019 57.91624 65.89317
#> [545] 62.93290 72.82305 72.35696 83.66749 60.78430 69.33845 71.10613 62.24884
#> [553] 74.30132 72.01402 67.33110 69.37972 63.73596 64.86967 62.55981 69.87437
#> [561] 51.07294 57.34115 71.76628 59.77860 69.40172 62.69689 62.89346 67.49722
#> [569] 67.19668 55.12739 69.36781 61.41347 54.40119 76.98080 80.18236 75.78182
#> [577] 61.98733 67.02431 63.72243 75.84703 63.77328 76.76276 70.52265 63.62387
#> [585] 61.35202 70.68465 67.13373 77.43369 69.64083 62.41643 63.17656 48.43195
#> [593] 63.21059 76.42162 74.48220 76.36791 78.86050 57.69822 71.46745 70.55377
#> [601] 72.59079 65.57272 69.91173 65.97126 70.22192 68.56557 61.38876 70.59862
#> [609] 63.17698 69.57803 68.83868 76.35054 67.89006 74.06327 69.76791 75.00463
#> [617] 52.09425 58.17167 62.45931 64.16930 79.03377 70.20752 72.81190 82.54678
#> [625] 69.64902 78.52530 48.23104 56.86849 72.83756 68.99783 73.51666 71.89383
#> [633] 69.39557 64.50099 58.72564 68.47750 75.23661 71.41518 63.57354 78.80218
#> [641] 79.92544 61.32991 86.50709 59.16315 71.32616 72.42561 68.62143 83.31450
#> [649] 74.03292 69.18607 68.39592 59.23960 77.50899 68.06410 64.74289 78.64714
#> [657] 80.02891 75.13078 76.17331 56.37468 59.84873 74.52012 70.77744 68.26938
#> [665] 72.93004 75.02576 61.78569 66.35131 73.49893 68.19392 61.87027 62.21769
#> [673] 74.73156 73.67549 66.35590 55.48419 58.71825 70.63308 70.41905 59.41934
#> [681] 73.29289 70.96411 72.87356 67.91305 87.48149 50.41233 67.66761 65.26720
#> [689] 73.53519 68.34048 57.10383 73.94681 71.63753 57.25524 80.80199 64.18397
#> [697] 67.00088 68.75130 67.58495 66.39580 71.36429 66.06759 69.54483 54.21477
#> [705] 53.85113 57.07816 55.54022 54.45262 62.76139 68.49537 68.38821 61.88059
#> [713] 67.16147 59.37628 74.08869 50.03812 68.02478 64.71145 61.61260 67.44639
#> [721] 71.38123 74.86348 63.09983 63.79432 67.05457 63.35924 58.52113 56.18777
#> [729] 64.54564 73.15081 62.95202 67.66897 69.50295 72.07164 65.34625 66.92563
#> [737] 62.61799 63.36857 70.88166 66.17624 53.64176 58.61833 69.06101 75.89855
#> [745] 59.76812 78.36541 71.15675 61.15481 58.87904 61.23650 60.35749 67.59047
#> [753] 60.61868 73.17653 66.54353 72.55826 58.50307 72.38389 57.91747 58.61486
#> [761] 73.69455 50.95559 69.78772 62.92435 80.06564 67.41668 74.89089 69.98047
#> [769] 60.23324 66.47999 62.27735 57.72886 64.68966 49.92730 44.66201 54.29725
#> [777] 60.48907 71.05941 57.39736 51.60275 61.30334 71.42600 61.24166 69.40906
#> [785] 68.11147 65.53059 64.20569 69.40411 66.32316 77.78074 66.53305 60.66632
#> [793] 68.05519 70.41117 56.45790 61.79909 65.75838 64.59649 59.12817 59.74253
#> [801] 59.11603 62.55265 64.42403 56.91950 72.06025 72.26799 61.05456 67.21883
#> [809] 54.61398 62.47873 62.52607 64.84185 69.01389 65.41776 53.04218 70.63896
#> [817] 55.21399 67.86802 69.72057 66.60048 69.50363 74.42403 55.08189 56.23261
#> [825] 70.96347 68.21134 68.43070 68.68614 66.56432 73.79917 62.50667 78.66430
#> [833] 63.91425 52.31564 67.59328 72.71624 64.99120 72.87608 59.88858 63.56190
#> [841] 68.81495 59.92280 79.69966 76.39627 70.66291 61.49322 81.43362 82.96713
#> [849] 72.93173 70.04319 69.35321 69.76403 66.58897 67.29281 72.23368 71.54911
#> [857] 65.55700 68.96575 60.20432 68.56941 68.50963 68.69810 86.40758 69.95109
#> [865] 57.78870 75.28808 78.30599 74.81486 70.29953 65.79521 76.08515 75.79271
#> [873] 68.59956 68.17426 67.96618 72.01912 71.08615 74.20028 72.28210 84.80878
#> [881] 73.71236 70.80595 63.00441 63.07598 68.58136 73.35158 68.71309 50.40695
#> [889] 58.82029 61.37587 67.55307 79.53021 79.29199 77.43254 57.40754 56.76300
#> [897] 61.71193 58.71317 71.51403 69.11665 66.01023 79.90549 69.26383 58.19784
#> [905] 70.01892 74.29491 66.90042 60.41598 64.66433 81.48793 71.69776 78.91672
#> [913] 74.05916 76.96015 72.37371 72.55468 76.09363 73.29641 75.97768 78.41817
#> [921] 78.60089 67.95394 84.56087 61.61419 76.78422 74.34283 66.55647 67.47704
#> [929] 72.50912 74.32684 69.97247 63.27470 70.96406 73.40703 65.83763 79.68434
#> [937] 66.95589 63.49755 79.47260 67.24023 83.03456 67.98339 78.16599 65.61433
#> [945] 76.13696 76.75749 80.52579 69.31100 71.88439 68.18478 70.31475 64.27347
#> [953] 61.14995 52.22652 66.96693 72.96360 68.09068 57.41419 74.54293 64.07716
#> [961] 66.64620 67.07433 71.65381 68.90759 68.11681 61.20286 68.39988 71.35345
#> [969] 57.27152 73.18882 62.40047 64.46562 67.39565 69.66259 65.13757 72.26152
#> [977] 76.68031 80.04268 71.03341 63.73432 67.13208 73.42753 75.52805 57.14960
#> [985] 66.80314 74.68464 71.09190 74.34968 70.81088 59.07468 69.51604 78.97023
#> [993] 62.08852 71.15367 66.02384 70.62176 76.22419 72.69251 64.97945 62.73667
#> [1001] 68.82593 71.52033 59.48681 63.62891 71.87471 76.59843 80.77324 76.83300
#> [1009] 65.26704 64.46659 63.48636 63.59798 72.73601 68.83233 74.33866 68.28323
#> [1017] 53.70865 65.17685 69.04086 72.32931 64.74509 61.74675 52.30902 53.51889
#> [1025] 61.01761 55.91894 69.33192 67.13732 54.24621 54.85815 55.62805 63.60262
#> [1033] 80.09817 68.79423 46.56633 73.35450 55.38425 70.69194 58.46496 60.09087
#> [1041] 58.16721 69.87680 62.11582 56.19447 68.83051 73.88133 59.21302 69.16594
#> [1049] 67.25668 62.20640 56.93018 55.04663 47.29518 60.71498 64.96559 66.04429
#> [1057] 63.05698 63.13972 68.37632 71.63919 72.96148 54.32550 62.12775 65.03387
#> [1065] 63.89104 62.64470 60.97661 60.01290 68.36988 53.70435 61.61394 71.72910
#> [1073] 46.71038 63.35737 55.03390 70.64288 58.74537 65.94808 64.99300 74.52121
#> [1081] 67.75087 70.95191 62.12619 77.34845 68.81279 63.66919 72.62366 69.00606
#> [1089] 68.94757 69.25817 65.15741 65.56487 69.56850 55.57475 79.97084 75.67238
#> [1097] 74.70634 66.16221 61.08239 63.03671 69.83794 57.68114 69.04407 68.82594
#> [1105] 57.19935 72.92371 63.92194 58.91147 69.97296 67.72606 66.45260 67.46549
#> [1113] 60.92799 68.16384 72.29978 70.68748 71.49570 71.27351 66.23572 67.71735
#> [1121] 50.61907 58.62014 79.94489 61.90415 68.37963 77.08362 59.13009 70.37062
#> [1129] 62.85703 68.04447 56.82573 71.82390 69.49203 75.95834 74.00316 63.87393
#> [1137] 58.33314 70.59834 59.23024 63.36932 73.00376 82.85031 68.37711 63.29981
#> [1145] 64.88467 68.93974 76.51836 68.83603 53.10764 71.04453 57.00060 70.43497
#> [1153] 58.65117 56.84367 68.03470 67.51196 62.87515 63.80409 69.62756 86.75458
#> [1161] 72.73840 62.79009 64.20914 58.58778 71.59051 72.72343 76.10387 62.17119
#> [1169] 71.73544 79.35242 78.00786 63.13336 72.73175 77.66014 69.08223 71.29192
#> [1177] 77.66218 75.28160 61.80220 74.10030 75.16365 78.25017 68.71857 78.92825
#> [1185] 68.40161 71.38116 73.24321 75.14927 58.39289 57.31843 79.31454 68.47645
#> [1193] 82.05500 63.28269 55.46025 72.93154 66.00008 81.85874 76.87634 63.50107
#> [1201] 76.44539 72.23895 74.36529 52.53932 75.87321 61.69766 67.32091 63.28763
#> [1209] 57.63741 70.15609 58.53500 68.61832 66.17982 63.43712 58.78442 59.55754
#> [1217] 73.66225 71.11068 74.57545 73.20433 65.36805 66.62286 66.78434 51.08746
#> [1225] 57.83524 68.11398 56.95474 68.97193 63.84779 64.79973 66.67907 68.36230
#> [1233] 67.91072 76.60085 72.41954 68.04922 80.84924 60.76494 69.28311 67.61164
#> [1241] 71.30310 72.19979 64.38202 59.16492 54.01740 71.79145 66.51009 70.57767
#> [1249] 63.48547 75.79780 65.60993 62.49995 53.14460 66.85343 83.23217 60.93177
#> [1257] 74.57813 46.92730 59.14559 88.15428 73.45404 69.36512 61.40496 74.05439
#> [1265] 72.31208 66.89767 69.47932 64.35257 72.46389 53.50412 63.71947 74.19309
#> [1273] 67.83858 78.11484 77.94088 47.50349 56.29015 68.30878 70.41381 65.60412
#> [1281] 70.03099 81.19006 74.48110 52.95924 59.16988 64.74254 67.92962 60.64377
#> [1289] 66.44093 59.90960 66.81655 74.24397 64.28203 69.64703 73.83055 68.39380
#> [1297] 71.02073 70.20801 61.08355 82.35572 78.71481 73.02357 70.38659 80.17329
#> [1305] 59.11715 71.40952 79.13639 69.66790 69.70262 59.26192 55.42891 64.67411
#> [1313] 62.73787 59.59562 77.07069 69.04305 65.50443 59.73192 57.86798 76.76032
#> [1321] 73.69856 76.51987 71.56925 65.00471 61.48605 65.92944 68.45250 73.77464
#> [1329] 69.05774 68.68004 78.12390 63.49822 76.92263 74.42621 81.60469 64.54565
#> [1337] 59.40031 64.92506 77.77172 69.76318 76.02303 73.87266 66.53244 68.08821
#> [1345] 59.05850 66.76829 68.32555 69.11247 68.77773 65.13522 80.19743 80.79643
#> [1353] 72.84858 73.43609 75.79084 65.05034 70.44695 73.10529 67.41371 68.72985
#> [1361] 84.65688 74.52234 70.38030 83.23285 65.65622 69.87717 75.64628 74.24738
#> [1369] 66.04274 72.58704 69.73833 65.04559 80.85332 66.18619 77.33647 69.57478
#> [1377] 66.49354 65.11725 50.89258 65.62008 77.00093 77.52609 77.46160 66.00875
#> [1385] 71.66708 76.06595 79.84681 65.86624 58.15208 71.39462 61.13813 73.33265
#> [1393] 69.67213 63.13803 54.70180 56.41521 61.05752 60.79854 68.05377 68.65064
#> [1401] 72.57686 59.70777 63.08407 59.63903 68.65945 66.38943 60.76587 61.58176
#> [1409] 64.38706 74.77117 55.38458 61.48740 76.37925 79.23937 67.58038 72.74421
#> [1417] 67.92258 53.23072 68.43984 62.71513 68.38846 62.17476 51.64741 67.18103
#> [1425] 71.98634 66.02409 72.77776 56.14472 55.45707 70.78495 56.83165 56.03302
#> [1433] 66.40101 71.63792 72.10436 59.70319 76.85089 79.15130 68.31461 66.31770
#> [1441] 71.79748 74.90363 75.45547 77.86507 67.24471 66.47448 77.17161 69.37349
#> [1449] 62.36695 77.61318 58.65188 67.80537 66.53353 51.19295 67.68895 63.75334
#> [1457] 60.53975 60.43573 57.28189 59.72666 71.00993 57.71197 59.28934 57.05895
#> [1465] 66.61812 54.28263 71.35946 67.83744 71.34157 69.67087 69.57502 75.61848
#> [1473] 70.02978 60.38074 65.30171 57.21048 62.75420 65.48097 65.34790 71.42395
#> [1481] 65.30342 71.64512 62.95242 62.90329 66.82209 54.78359 66.73604 79.05080
#> [1489] 58.68640 61.46207 77.07637 61.75751 66.93854 57.41513 63.32408 66.01239
#> [1497] 61.46731 78.46649 66.19316 62.58989 71.26642 79.51000 59.34881 58.59444
#> [1505] 76.17536 60.42833 55.90732 57.28492 53.63288 71.07492 77.78319 72.48219
#> [1513] 74.27549 65.90860 71.76918 68.42086 68.42016 60.12381 67.64932 77.52301
#> [1521] 72.41655 73.21909 74.54073 50.31472 63.30624 74.18074 61.97094 56.65816
#> [1529] 64.97392 77.53874 68.46957 81.21271 58.68598 65.57061 66.10820 52.39462
#> [1537] 64.15702 57.51462 63.27041 58.01835 64.08320 66.29276 74.79248 56.50039
#> [1545] 66.64618 71.96610 76.91332 52.62399 57.01261 66.17790 68.54506 73.29810
#> [1553] 70.31310 56.76588 66.88828 62.60800 61.32325 66.59809 52.30026 64.41549
#> [1561] 55.77740 60.04380 64.23906 72.36306 73.74505 62.55084 68.59517 71.56196
#> [1569] 81.04313 62.58795 69.01380 62.85137 77.15365 66.63012 58.47738 65.32632
#> [1577] 73.93263 73.91692 65.92790 74.35885 69.72124 72.34547 70.19473 60.80455
#> [1585] 63.47704 74.96437 76.12191 84.51147 66.12566 62.73327 57.09987 56.01483
#> [1593] 72.89919 65.39660 75.36774 59.31850 68.49104 80.52154 76.20779 68.98245
#> [1601] 72.29426 70.35946 67.59389 67.09540 66.89918 75.75809 64.10176 73.64740
#> [1609] 71.05055 63.50553 65.22709 55.74434 69.65553 73.99452 66.25482 74.20866
#> [1617] 63.98587 63.10870 68.41449 69.79509 80.11660 81.07790 67.58721 71.17722
#> [1625] 63.86929 73.85486 68.42011 66.93277 70.79452 63.26834 72.44035 68.65174
#> [1633] 52.01660 77.41712 58.23767 70.64779 64.13231 61.13516 67.87300 72.58168
#> [1641] 69.91213 73.02147 76.53282 59.86180 68.35403 69.53396 64.86760 55.35866
#> [1649] 51.31009 55.98228 61.30474 51.89295 64.23845 60.15881 58.03447 76.09249
#> [1657] 73.99918 61.35162 62.60475 48.38249 62.72558 60.52418 75.21992 67.76839
#> [1665] 55.06880 74.46137 73.66432 63.47077 71.16092 73.83728 58.35417 57.49489
#> [1673] 70.97564 61.82360 64.68038 53.31603 65.28835 60.09446 65.17596 63.70188
#> [1681] 73.99975 73.93502 46.08964 44.82764 69.77743 64.05657 63.99455 49.86627
#> [1689] 68.27130 61.40595 63.97091 64.28264 75.84039 72.93402 69.76303 68.14136
#> [1697] 76.89856 66.62016 75.39638 69.38782 64.57769 64.44342 73.49994 75.29175
#> [1705] 76.10279 82.44102 68.72154 75.33053 71.79031 63.88354 58.26123 65.32170
#> [1713] 58.12468 79.84330 76.86777 70.03451 67.49301 63.55623 67.94854 76.12398
#> [1721] 78.87514 67.45873 78.50154 71.27942 72.89447 72.91809 64.20754 73.43987
#> [1729] 63.33368 64.21689 57.01014 69.00989 70.00043 70.42612 65.91218 64.82256
#> [1737] 58.56830 63.41625 68.52328 75.14628 59.07476 73.52432 69.22018 67.60163
#> [1745] 75.33418 76.90789 76.92250 74.93766 65.77543 65.75545 58.46441 72.78464
#> [1753] 81.82421 71.82429 74.39001 68.07234 77.38305 63.35983 74.13050 71.23563
#> [1761] 71.88194 57.54046 72.05244 59.12513 67.91091 74.77744 67.15238 81.72429
#> [1769] 71.29875 70.70505 66.08326 74.80460 81.85590 75.23401 69.77658 73.13738
#> [1777] 73.26714 76.99318 62.42075 73.20336 55.62866 64.32425 68.75434 72.40339
#> [1785] 74.27380 59.64709 75.62163 70.95434 59.80295 68.33330 78.93599 64.11339
#> [1793] 69.65824 58.92546 73.88142 49.87159 71.05877 77.87955 58.01549 42.02942
#> [1801] 58.17878 63.11098 61.72730 63.28924 69.03198 52.92048 66.42919 70.50344
#> [1809] 68.93453 75.80439 63.95682 65.17309 57.39305 61.08440 66.06148 65.16625
#> [1817] 71.04220 65.82033 63.50388 65.30225 59.28198 66.82327 71.50018 54.99290
#> [1825] 77.01180 78.54212 70.45032 71.05325 65.54211 71.35435 72.89899 73.59691
#> [1833] 59.41109 64.30513 74.61082 58.07090 73.19399 76.80978 68.73762 64.34226
#> [1841] 68.08419 68.28265 74.45605 48.76354 69.55029 72.40334 72.41862 64.88044
#> [1849] 70.77218 72.76052 75.00452 62.96750 52.59057 71.03428 61.61326 70.78443
#> [1857] 70.37083 48.10211 60.28787 76.67934 68.63790 71.69138 48.09606 71.86664
#> [1865] 72.36204 76.94945 60.80963 68.38502 70.08777 68.11924 71.63646 75.74078
#> [1873] 76.03459 68.58417 62.87421 74.96517 81.18627 61.49620 76.07097 72.21334
#> [1881] 66.76722 65.69722 71.75146 59.97810 63.80633 71.95854 83.83218 73.77840
#> [1889] 64.80912 51.55898 73.38416 60.61085 70.65995 65.05426 71.95934 63.47021
#> [1897] 81.32942 70.09145 72.67768 78.25084 72.16153 72.43386 82.31976 60.53447
#> [1905] 69.58705 75.02819 73.71274 58.76184 68.17441 67.60283 75.33707 60.62650
#> [1913] 69.47158 71.66723 70.95058 68.15772 63.47130 73.24468 71.44891 56.50114
#> [1921] 58.83914 58.81983 70.23370 73.31528 67.78327 69.71246 75.30407 56.74801
#> [1929] 77.12850 69.82563 68.04577 69.95052 77.05918 69.44995 70.87094 67.54276
#> [1937] 79.33083 59.82485 58.34931 69.70833 64.79289 80.60798 61.11770 70.69920
#> [1945] 79.00077 74.82376 72.72528 64.24792 63.78845 68.41650 68.01352 64.83255
#> [1953] 61.54534 76.11025 58.74033 64.62213 56.52341 66.06034 66.33967 63.49380
#> [1961] 78.05756 66.15730 66.32165 66.66655 67.76464 60.38543 65.83990 69.76094
#> [1969] 70.25446 66.29991 69.95286 51.05890 66.48110 67.98565 78.97506 75.48202
#> [1977] 66.45798 67.52368 78.03448 65.77534 64.65325 71.45775 68.30725 64.81261
#> [1985] 70.54525 79.19512 63.89762 66.55610 69.55349 68.47149 64.51836 55.17856
#> [1993] 76.87763 67.17303 76.37849 68.33988 66.65900 71.80710 65.88267 80.70250
#> [2001] 69.05570 70.29918 65.48676 66.58203 78.75692 73.95205 75.67197 72.31493
#> [2009] 58.10220 73.82078 74.14760 72.70253 80.32842 74.09422 72.10102 79.86217
#> [2017] 61.76671 73.71209 78.00109 63.37328 67.75480 70.95826 83.39459 67.56304
#> [2025] 71.78671 72.63213 73.31384 79.42063 72.13561 76.37403 76.76582 68.51777
#> [2033] 59.60031 69.54650 81.10426 61.10328 72.81581 69.55373 59.54034 73.22038
#> [2041] 72.02431 68.24458 71.79223 83.58295 73.81004 68.11013 79.39954 44.81757
#> [2049] 64.05462 79.32347 75.14040 75.15337 59.19774 70.29450 69.29144 62.15536
#> [2057] 70.17015 71.68012 61.24475 76.17020 71.97805 85.16354 67.51821 69.97173
#> [2065] 70.50038 70.07313 79.53872 73.63718 70.82783 78.47535 64.84094 76.13963
#> [2073] 76.16947 80.48139 67.43582 78.91409 68.31110 67.87754 60.05370 58.23784
#> [2081] 79.26051 69.48584 65.39750 64.64617 69.99377 71.29851 71.82332 66.38659
#> [2089] 70.01537 70.61446 71.01412 71.69458 78.18603 57.14606 72.02302 76.38079
#> [2097] 56.94880 65.66610 69.20337 68.91898 67.91304 78.10927 63.36749 77.56006
#> [2105] 59.95252 65.68671 77.00747 75.45281 48.89046 76.29995 71.22344 72.46685
#> [2113] 69.96243 66.76298 70.19768 75.91710 75.98988 70.34598 81.50302 73.58940
#> [2121] 61.70262 76.06182 60.38272 67.25211 54.34937 66.76573 61.38594 60.44000
#> [2129] 53.66888 57.62257 56.04892 56.44273 56.76655 60.12383 70.39356 62.27196
#> [2137] 55.55984 76.21824 56.14814 73.94086 60.05188 65.03920 49.44068 62.91403
#> [2145] 58.07436 61.10660 58.01290 66.82123 66.77101 60.08376 57.75603 51.67358
#> [2153] 57.05229 56.21584 58.62018 61.89989 57.49611 60.54298 49.58227 59.64839
#> [2161] 74.94599 67.73720 47.46214 63.99611 66.61975 70.02135 67.50234 62.70801
#> [2169] 64.41184 61.11106 75.47634 57.73354 58.58683 68.25049 76.28532 74.13996
#> [2177] 61.42709 67.32278 59.89400 60.05570 78.36894 64.85949 66.16411 65.71243
#> [2185] 58.73158 80.00566 68.13906 65.68579 68.42467 59.39600 66.23666 70.27353
#> [2193] 66.14881 67.30502 61.51112 63.17798 55.09913 70.83768 60.78036 74.42267
#> [2201] 58.57061 72.99913 50.76278 66.01021 77.88038 61.44016 81.17133 60.65121
#> [2209] 74.87706 64.54125 61.97491 74.89863 67.09107 65.14819 70.20681 68.14376
#> [2217] 64.24942 59.99179 78.43991 72.18599 68.28717 75.66216 72.68815 72.80492
#> [2225] 68.61587 61.58283 70.71642 79.23401 77.92773 66.02493 70.19499 72.19359
#> [2233] 78.63356 66.45578 68.22689 77.95267 80.28643 75.89411 59.15866 72.12354
#> [2241] 82.96571 75.04061 70.79329 64.07279 48.22400 72.48906 74.45371 74.01454
#> [2249] 73.63471 67.05103 67.07603 72.36137 76.73168 74.20838 71.79995 73.07748
#> [2257] 71.11646 68.82026 65.22626 75.61250 70.89158 52.18946 73.75515 78.68905
#> [2265] 69.06628 77.57719 73.32462 72.13306 72.40255 73.20179 68.13390 67.07369
#> [2273] 71.69590 67.41514 74.29163 59.73396 72.37235 66.20048 68.20867 77.12609
#> [2281] 79.18189 53.94690 65.07114 73.74249 73.78329 58.87602 75.34691 61.45573
#> [2289] 66.44198 79.68267 77.55152 78.88537 74.61484 80.42742 62.30197 73.89499
#> [2297] 78.21330 75.15837 61.61820 68.56808 65.78595 69.69902 54.89323 66.96991
#> [2305] 73.40659 70.00296 57.17861 70.42382 65.64357 63.66148 60.22499 75.08457
#> [2313] 55.90144 64.95629 78.44602 73.69659 70.06284 68.86412 69.71407 75.69712
#> [2321] 65.55898 61.71602 69.05333 71.23206 64.63342 58.45198 74.36140 73.91834
#> [2329] 57.86606 66.52379 69.43458 70.05631 66.60199 74.73365 73.81630 60.25376
#> [2337] 66.95414 62.45929 73.91896 58.21395 61.92793 63.93459 55.66261 58.58088
#> [2345] 63.23828 61.20560 60.75441 72.71555 53.80745 72.10883 60.80542 66.66108
#> [2353] 61.56553 65.22239 52.72058 63.56141 51.76506 55.93305 62.88507 56.11695
#> [2361] 53.47439 52.61197 68.80902 54.97446 56.98547 57.73394 62.06292 62.49508
#> [2369] 59.49123 57.41688 72.86859 54.85245 55.78341 60.00956 56.41450 64.35985
#> [2377] 65.60670 69.34106 66.02706 62.10246 57.97786 63.12340 57.30226 68.23756
#> [2385] 67.92329 51.01608 74.81880 54.45960 77.88719 68.18747 72.04943 71.32181
#> [2393] 68.08982 67.23010 68.03166 71.17243 65.72753 79.70309 67.98634 59.39342
#> [2401] 62.54882 64.79967 69.18765 62.66811 65.08958 60.54723 63.77432 64.53927
#> [2409] 68.00143 76.62116 64.18464 45.84758 61.51460 50.87955 64.20656 58.52942
#> [2417] 64.70325 69.74344 70.07680 69.29155 67.87175 59.77624 47.82983 57.73817
#> [2425] 72.65354 50.76648 75.37114 61.19022 67.69126 68.10428 60.56716 59.93609
#> [2433] 65.32268 73.84759 73.19282 62.73872 56.50987 59.64320 66.33290 56.78873
#> [2441] 63.81326 62.81838 65.60584 63.38831 69.94632 65.60085 64.71547 72.76970
#> [2449] 70.41210 66.44002 65.89122 63.83778 67.68470 63.08168 61.14802 62.80803
#> [2457] 64.77841 55.15215 74.63502 69.66705 61.75721 60.76500 63.03039 70.94626
#> [2465] 58.06431 64.68472 48.42314 55.58510 68.69030 61.29350 56.70862 71.02356
#> [2473] 63.71184 58.86565 58.30657 62.22654 59.17560 58.25963 68.75661 60.43145
#> [2481] 54.57268 77.38499 57.66935 55.43458 69.98176 57.60149 66.01667 62.68580
#> [2489] 71.24850 49.59678 60.75413 62.31974 68.09939 54.96884 58.96392 67.91248
#> [2497] 59.41663 65.52926 55.11771 66.08554 54.53410 69.14365 59.45624 61.37145
#> [2505] 49.68364 44.13380 57.64725 66.92923 75.23007 59.03206 58.65179 71.63568
#> [2513] 58.31622 62.43786 63.03207 54.01716 60.62934 62.20301 53.86173 68.99437
#> [2521] 54.58729 42.54892 55.19720 45.43619 43.05098 59.28758 61.36598 57.58097
#> [2529] 61.33094 68.45242 42.49388 75.83266 66.18595 63.40246 67.63002 63.84124
#> [2537] 67.20585 65.41798 72.44742 64.13704 58.77668 74.20247 59.09222 74.75841
#> [2545] 68.97801 47.45300 68.68364 67.42773 65.81814 60.34669 63.13232 68.36396
#> [2553] 57.41312 58.59595 63.72905 66.16031 57.27347 68.85111 66.72824 54.18823
#> [2561] 66.58663 65.23647 53.65078 54.91009 59.54184 63.77187 61.22184 51.38650
#> [2569] 63.41666 60.49468 69.84982 62.24639 68.07384 55.18596 69.63200 70.91279
#> [2577] 62.75732 57.38843 65.18543 48.03783 61.63174 66.96362 62.56823 63.59367
#> [2585] 54.64546 51.01983 59.18485 59.91364 57.50676 70.17918 68.54642 73.19740
#> [2593] 59.06599 63.15311 61.92149 73.31425 63.45720 59.02171 62.41858 62.98355
#> [2601] 51.20026 67.23767 61.44652 58.94638 66.70650 63.23442 66.58893 69.21493
#> [2609] 67.25939 66.90094 63.69254 60.13880 70.40905 64.83422 74.04751 67.01552
#> [2617] 63.36971 57.07656 60.03994 66.72958 66.80573 58.12397 81.41631 75.08916
#> [2625] 53.37082 54.76375 59.95687 60.25079 63.75562 71.36579 66.69929 72.11794
#> [2633] 66.32817 65.50853 73.44431 65.07778 60.21993 66.01737 73.94776 66.80895
#> [2641] 72.51822 63.70988 61.72018 65.68055 72.17844 63.35864 64.51347 78.72081
#> [2649] 78.57346 69.66802 55.86373 63.79115 72.67271 63.49850 74.24465 75.06297
#> [2657] 74.56919 58.68274 70.47589 61.02611 63.53845 74.92563 52.79787 65.20651
#> [2665] 62.75726 56.54362 65.45751 64.64016 43.87016 46.82592 52.70641 59.79616
#> [2673] 64.07229 57.77525 37.15305 52.18885 56.69013 65.11387 56.06117 51.01153
#> [2681] 56.19481 47.69607 61.80109 63.40278 61.77054 69.54157 55.93471 61.84009
#> [2689] 48.93463 59.58336 55.20860 57.50012 63.93078 57.17921 62.16159 63.56063
#> [2697] 63.72498 62.25566 53.18847 71.81589 69.24967 63.32372 60.32701 70.51322
#> [2705] 75.37045 82.78481 74.36478 82.84286 65.01094 67.92651 69.44624 61.03082
#> [2713] 83.90206 75.29837 51.81028 62.29170 72.49083 78.38218 68.10434 65.74682
#> [2721] 68.85853 77.76889 67.43031 60.91371 75.87443 65.02726 62.45515 53.20672
#> [2729] 58.45239 60.93244 67.61506 69.87808 59.46253 63.73378 63.49068 59.10330
#> [2737] 57.85748 57.37821 65.07167 63.45248 52.24127 75.20220 68.70116 54.53184
#> [2745] 69.89119 57.04312 67.35460 57.36424 67.06758 58.77331 63.10829 74.84068
#> [2753] 76.18050 72.81206 68.80968 65.83325 73.96534 65.40124 71.88255 66.65709
#> [2761] 62.55304 57.87259 78.56407 72.30591 72.52095 56.77160 74.52149 73.84737
#> [2769] 58.32646 69.80509 78.62456 46.26316 78.51767 75.88266 65.53142 73.51399
#> [2777] 67.99780 62.48487 62.82061 70.25204 59.57257 64.89045 51.65538 61.43931
#> [2785] 61.59973 59.66856 58.78021 63.79054 67.04107 59.90352 55.47541 65.20601
#> [2793] 58.68097 59.73547 52.92848 62.00515 71.10681 57.85596 51.27263 60.92519
#> [2801] 71.45204 57.98006 66.38309 68.32686 61.65468 65.75021 55.93633 55.97865
#> [2809] 61.42566 64.95926 53.51797 56.70531 68.83683 65.49831 50.07706 70.48318
#> [2817] 61.80053 68.50483 60.55935 53.28581 70.92278 54.60471 82.93168 72.48072
#> [2825] 53.75278 72.10916 65.01654 70.90035 58.24915 72.69977 63.97964 57.88102
#> [2833] 65.63163 61.40922 70.60840 51.47696 66.12306 61.61070 55.09037 51.65472
#> [2841] 57.35238 65.61513 54.53557 49.32200 60.03834 51.70971 52.63100 62.46536
#> [2849] 54.59229 64.23200 62.25394 63.35336 59.73808 49.68350 53.13843 57.32178
#> [2857] 64.15375 70.77379 58.53282 72.50328 64.35780 63.34240 66.00641 42.69829
#> [2865] 60.20028 64.94655 56.19553 52.77968 54.35577 69.63235 60.02935 72.79912
#> [2873] 48.77321 58.81289 70.94028 47.08473 59.29465 56.22009 62.07287 58.56069
#> [2881] 48.11275 57.43585 40.21748 59.59633 66.23900 73.63816 60.00719 72.49817
#> [2889] 70.25555 69.09787 73.58875 49.12570 63.48613 59.96296 75.43097 69.64069
#> [2897] 66.86447 74.07735 56.40490 60.79351 67.17594 69.18133 71.42842 73.43488
#> [2905] 79.18494 68.26034 64.60299 71.59032 69.16770 68.61023 63.63522 72.45415
#> [2913] 54.19134 62.26561 66.34029 67.21735 71.95213 65.10566 55.10628 78.01774
#> [2921] 70.78562 50.52369 76.76844 63.38088 58.73697 72.23225 73.65790 54.39449
#> [2929] 56.82066 57.58958 70.34865 55.51700 58.74070 64.48379 67.25014 55.00364
#> [2937] 48.93556 69.97778 69.61375 48.71129 71.62366 74.73299 71.39456 66.14372
#> [2945] 77.64442 47.73653 54.30688 78.15876 57.62339 63.88717 57.43145 64.55148
#> [2953] 58.78289 52.84595 54.60907 67.70738 53.98352 71.67621 65.09179 63.63102
#> [2961] 77.22751 59.52792 64.01015 57.15564 64.99468 57.38730 51.05032 71.77918
#> [2969] 52.63991 60.73363 55.02831 64.58007 59.15272 59.77902 54.13738 63.78960
#> [2977] 61.71341 50.91893 69.56234 68.00976 51.78109 63.93775 62.15039 57.87914
#> [2985] 60.96651 63.46425 56.06310 63.24018 56.83057 64.61020 66.33585 65.09031
#> [2993] 67.84270 53.30097 62.70056 65.56072 53.48190 76.42828 64.57326 57.87420
#> [3001] 62.51065 70.84030 70.06497 58.98543 72.01606 60.37447 65.77628 69.58855
#> [3009] 68.31471 67.95215 55.34066 63.30490 59.48812 71.73081 68.25320 63.33077
#> [3017] 63.38451 63.51137 68.15773 58.00688 50.76684 76.55165 65.62659 62.05619
#> [3025] 68.30000 68.45217 59.19754 81.27567 56.97317 47.01995 73.77766 67.41340
#> [3033] 63.61630 68.61497 63.43801 56.88342 69.98766 61.57820 59.08319 64.06051
#> [3041] 56.03639 67.04543 72.75697 58.86050 61.45068 75.88925 61.41029 53.95363
#> [3049] 66.50112 63.97190 62.89192 51.94656 68.06061 57.73601 63.47466 64.56777
#> [3057] 61.03595 60.74491 64.60407 51.37361 63.46910 55.81346 65.54609 56.91315
#> [3065] 45.46938 63.83136 62.07165 63.79919 60.54844 65.08308 68.13222 47.83181
#> [3073] 72.45219 63.61844 66.24282 46.75714 65.57581 56.07532 61.06602 76.48111
#> [3081] 59.56140 69.72211 63.69852 76.56102 75.32543 72.59620 63.87195 58.76195
#> [3089] 62.59765 71.78933 66.07072 70.78105 67.89771 68.45424 63.79153 75.04036
#> [3097] 61.47033 63.56615 58.51663 65.03104 60.94050 63.22177 50.12427 56.50094
#> [3105] 57.44864 75.88494 70.78634 61.49740 65.41980 69.66064 55.14614 59.07914
#> [3113] 62.39892 50.63991 63.51828 62.21200 73.97445 73.03793 51.39267 67.43040
#> [3121] 71.52241 59.88702 65.73672 75.08172 63.67394 64.96996 60.18171 62.30077
#> [3129] 62.89539 62.85343 63.89907 56.09291 72.09487 54.71128 62.10077 58.87266
#> [3137] 70.59328 58.52210 61.47540 53.70060 68.98733 60.90482 70.52175 65.23242
#> [3145] 84.41606 69.21681 63.77289 62.39908 60.21475 78.88609 50.48725 66.72240
#> [3153] 59.49118 47.75247 65.73878 53.03512 63.58803 53.62138 59.32141 54.87083
#>
#> $mod2_unimodal$ref_properties$cell$knn_hubness
#> [1] 7 4 2 2 2 2 3 2 3 4 5 3 4 3 10 3 2 3 6 0 3 3 6 0 4
#> [26] 6 1 5 6 1 1 2 2 5 10 1 4 3 3 11 5 2 4 6 3 5 2 2 12 0
#> [51] 1 2 6 7 6 7 5 4 3 5 3 1 4 5 5 2 7 4 5 8 2 4 5 3 5
#> [76] 6 5 3 8 1
#>
#> $mod2_unimodal$ref_properties$cell$prop_outliers_cell
#> [1] 0
#>
#>
#> $mod2_unimodal$ref_properties$feature
#> $mod2_unimodal$ref_properties$feature$mean_expression
#> [1] 5.716424 7.247752 6.998949 7.063256 9.416472 7.315146 7.663752 8.173491
#> [9] 8.213178 9.976097 8.995378 9.775711 7.745748 7.228772 8.781619 4.928326
#> [17] 6.070421 3.224889 6.079080 6.097683 4.333122 6.477873 5.162212 6.677915
#> [25] 3.065453 5.724122 5.564896 6.038391 7.839076 4.354419 6.268047 5.872623
#> [33] 4.746343 6.637793 7.188237 6.821099 4.324412 4.371988 5.277508 6.074494
#> [41] 3.427462 8.432505 6.302053 5.898773 7.820826 4.924909 4.977206 7.562769
#> [49] 2.823018 5.155006 3.031849 4.184188 3.975300 6.286245 7.651048 6.617564
#> [57] 8.455174 7.203276 6.630818 4.758622
#>
#> $mod2_unimodal$ref_properties$feature$variance
#> [1] 55.21492 58.88171 57.71005 58.80902 56.97633 59.99358 59.62032 58.30555
#> [9] 58.89714 54.38793 57.67004 55.17221 57.88492 58.57688 57.84576 51.13001
#> [17] 56.03281 39.06803 56.20886 56.53768 47.14096 57.57565 53.07028 58.17487
#> [25] 38.12207 55.38955 55.23949 55.44666 59.29862 47.62386 56.71680 55.25704
#> [33] 50.23106 57.43175 57.89713 57.65013 46.96737 48.00883 52.41973 56.11021
#> [41] 41.01352 59.08111 57.36891 55.75489 59.05502 51.06765 52.17863 58.00120
#> [49] 34.98126 52.89421 37.27450 46.79173 44.99008 57.09260 59.42067 57.08715
#> [57] 59.38001 58.16514 57.33745 50.53719
#>
#> $mod2_unimodal$ref_properties$feature$sd
#> [1] 7.430674 7.673442 7.596713 7.668704 7.548267 7.745552 7.721419 7.635807
#> [9] 7.674447 7.374817 7.594079 7.427800 7.608214 7.653553 7.605640 7.150525
#> [17] 7.485507 6.250442 7.497257 7.519154 6.865928 7.587862 7.284935 7.627245
#> [25] 6.174307 7.442416 7.432327 7.446252 7.700560 6.901004 7.531056 7.433508
#> [33] 7.087387 7.578374 7.609017 7.592768 6.853274 6.928841 7.240147 7.490675
#> [41] 6.404180 7.686424 7.574227 7.466920 7.684727 7.146163 7.223478 7.615852
#> [49] 5.914496 7.272841 6.105284 6.840448 6.707465 7.555965 7.708480 7.555604
#> [57] 7.705843 7.626607 7.572150 7.108951
#>
#> $mod2_unimodal$ref_properties$feature$cv
#> [1] 142.01764 117.40274 118.20020 120.18708 92.04002 117.69947 111.71406
#> [8] 104.14235 104.82284 86.01514 96.17832 87.90590 106.36466 116.66442
#> [15] 98.26143 151.45893 128.46741 193.72125 128.46741 128.46741 158.41816
#> [22] 127.28917 150.83290 124.16029 215.82928 140.98974 144.76127 130.33748
#> [29] 109.12773 162.60883 122.89131 131.90292 153.06520 118.89404 111.91153
#> [36] 117.65058 162.60883 165.72052 140.48273 128.46741 196.16578 102.13807
#> [43] 131.20667 133.81136 107.28943 151.45893 157.10998 106.50084 209.47997
#> [50] 150.83290 211.85375 167.80695 168.67387 131.69474 112.05785 120.65950
#> [57] 102.66407 115.35524 120.65950 158.13430
#>
#> $mod2_unimodal$ref_properties$feature$zero_fraction_feature
#> [1] 0.6250 0.5250 0.5375 0.5375 0.3875 0.5250 0.5000 0.4625 0.4625 0.3500
#> [11] 0.4125 0.3625 0.4875 0.5250 0.4250 0.6750 0.6000 0.7875 0.6000 0.6000
#> [21] 0.7125 0.5750 0.6625 0.5625 0.8000 0.6250 0.6375 0.6000 0.4875 0.7125
#> [31] 0.5875 0.6125 0.6875 0.5625 0.5250 0.5500 0.7125 0.7125 0.6500 0.6000
#> [41] 0.7750 0.4500 0.5875 0.6125 0.4875 0.6750 0.6750 0.5000 0.8125 0.6625
#> [51] 0.8000 0.7250 0.7375 0.5875 0.5000 0.5625 0.4500 0.5250 0.5625 0.6875
#>
#> $mod2_unimodal$ref_properties$feature$detection_freq_feature
#> [1] 0.3750 0.4750 0.4625 0.4625 0.6125 0.4750 0.5000 0.5375 0.5375 0.6500
#> [11] 0.5875 0.6375 0.5125 0.4750 0.5750 0.3250 0.4000 0.2125 0.4000 0.4000
#> [21] 0.2875 0.4250 0.3375 0.4375 0.2000 0.3750 0.3625 0.4000 0.5125 0.2875
#> [31] 0.4125 0.3875 0.3125 0.4375 0.4750 0.4500 0.2875 0.2875 0.3500 0.4000
#> [41] 0.2250 0.5500 0.4125 0.3875 0.5125 0.3250 0.3250 0.5000 0.1875 0.3375
#> [51] 0.2000 0.2750 0.2625 0.4125 0.5000 0.4375 0.5500 0.4750 0.4375 0.3125
#>
#> $mod2_unimodal$ref_properties$feature$dispersion
#> [1] 0.9580280 0.8270042 0.7509567 0.8486399 0.6988876 0.8658228 0.7644020
#> [8] 0.7049659 0.7416784 0.6473779 0.7053331 0.6375144 0.6505228 0.7826087
#> [15] 0.7120790 0.8028933 0.7014147 0.7974684 0.7014147 0.7014147 0.7215190
#> [22] 0.8101266 0.8815843 0.7900587 1.1645570 0.8945148 0.9168174 0.7432188
#> [29] 0.7443038 0.7932489 0.6418466 0.7176832 0.7614411 0.6537804 0.6418648
#> [36] 0.6747809 0.7932489 0.8582278 0.7154081 0.7014147 0.9620253 0.7041725
#> [43] 0.8607595 0.7609829 0.6762726 0.8028933 0.9873418 0.6096556 0.8227848
#> [50] 0.8815843 1.0098453 0.8095762 0.7468354 0.8888546 0.7848101 0.6915390
#> [57] 0.7377939 0.7318757 0.6915390 0.8752260
#>
#> $mod2_unimodal$ref_properties$feature$bcv
#> [1] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [8] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [15] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [22] 0.0000000 0.0000000 0.0000000 0.8113124 0.0000000 0.0000000 0.0000000
#> [29] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [36] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [43] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [50] 0.0000000 0.2091813 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [57] 0.0000000 0.0000000 0.0000000 0.0000000
#>
#> $mod2_unimodal$ref_properties$feature$gene_cor
#> [1] 0.0201634262 -0.0662452759 0.0870547516 0.0723323628 0.2494233121
#> [6] 0.1057581996 -0.0059927120 0.0177738462 0.2249161694 -0.1230430855
#> [11] 0.0662361581 0.0185327263 0.0922132252 0.1820396661 0.2410490460
#> [16] -0.0144613532 0.0714995277 -0.1951898614 0.0249976157 -0.2892791870
#> [21] -0.0935892327 -0.0076882693 0.1639147014 0.1751585091 0.0486733198
#> [26] 0.0768770437 0.1588252702 -0.0899480937 0.1662639629 0.1743644044
#> [31] 0.0730665720 0.0119673420 0.0542053957 0.1676344230 -0.0858961044
#> [36] 0.2786154364 0.1460191053 0.0443894585 0.1783400648 0.0528879249
#> [41] 0.3179411712 0.1244178100 -0.1185573303 0.0011086076 0.1790159534
#> [46] -0.1092364597 -0.0838501300 -0.1361250662 -0.1848522297 -0.0703381265
#> [51] -0.0265292701 -0.0747420268 0.0499878211 -0.2350553249 -0.2079699727
#> [56] 0.1529938806 -0.1283003929 -0.0136052068 -0.0163267168 -0.0298996998
#> [61] -0.0270658746 0.0866009182 -0.1029750625 -0.1075716205 0.0282436944
#> [66] -0.1801653895 0.1269450473 0.1263334192 -0.0592217474 -0.0647422654
#> [71] 0.0949429776 -0.2001613248 -0.0608051400 -0.0411538999 0.0653405543
#> [76] 0.0736472077 0.0893657504 -0.0481425865 -0.2477364218 -0.0738998398
#> [81] 0.0014564640 0.1203774392 0.0064599367 0.0747364617 0.0842700142
#> [86] -0.0148784919 -0.1981276619 -0.0058722109 -0.1166107579 -0.1211348896
#> [91] -0.2170727634 -0.0003500750 -0.0789049496 -0.1176194308 0.0716195150
#> [96] -0.1021590296 -0.0628385624 -0.2293633933 -0.0284702836 0.0030173628
#> [101] 0.0719520517 -0.0670346443 0.1237411983 -0.1773867957 -0.0787214358
#> [106] -0.0999982026 -0.1126794015 -0.1393211929 -0.1040905470 0.0505848921
#> [111] 0.2200446648 -0.0004751766 -0.0989654549 -0.0441112216 0.0248944705
#> [116] -0.0456094508 0.0344899518 -0.1034658621 0.2632822321 0.0602945597
#> [121] 0.0977473389 0.1107565057 -0.0051043598 0.0725379237 0.0870376150
#> [126] 0.2120560644 -0.1310674928 0.1071601329 0.0769099267 0.0649035280
#> [131] -0.0381958177 -0.2039696061 0.0789438382 0.0223316210 -0.0308755279
#> [136] -0.0532095451 -0.0854075245 0.0634801658 0.0414949995 0.2953939198
#> [141] -0.0654487322 -0.0611367358 0.1168949077 0.0555906630 0.0536903031
#> [146] -0.0907987991 0.0477809149 -0.1232935663 -0.1373058266 -0.0240281973
#> [151] -0.0397729943 -0.0106548618 0.1495726666 0.1175857221 0.1582222823
#> [156] 0.0783677075 0.0216576807 0.0353277394 -0.0436249716 0.2337764875
#> [161] 0.1550148267 0.1511442695 -0.0825028702 0.0177522308 -0.1309653856
#> [166] -0.0357644216 -0.1411400178 -0.1046134192 -0.0467065704 -0.0309343521
#> [171] 0.1004305593 -0.2203874826 -0.0447540008 -0.1843335193 -0.0023308389
#> [176] -0.1160418357 -0.2024863287 0.0715139638 -0.1559146066 -0.1299706419
#> [181] -0.2126066429 0.1862532050 -0.0497913675 -0.0470788977 0.1262374547
#> [186] 0.0558237985 0.0087238261 -0.0261166093 0.0237356518 -0.1004847533
#> [191] -0.0133387999 0.0029479654 0.0779787195 0.0023472036 0.0522132408
#> [196] -0.0801732229 -0.0862821439 0.0915723226 -0.0923282916 -0.0193520467
#> [201] 0.1093059315 0.1744714584 -0.1301049281 -0.0116354210 -0.2042856172
#> [206] 0.0613627880 -0.0782784702 0.0595872449 0.0069813307 0.0246556690
#> [211] 0.0247365245 0.0668506347 0.1503391898 0.1103912553 0.0587975313
#> [216] 0.0856278425 -0.0971668375 0.0100005236 0.2220664512 0.0823532126
#> [221] -0.1636002713 -0.1371508521 -0.0902774031 0.0988198084 0.0017609938
#> [226] 0.3209333917 -0.0581987217 0.0382070898 0.1270841074 -0.1503923455
#> [231] 0.0335324187 -0.2389200286 -0.0466074826 0.0376240892 -0.1291153684
#> [236] 0.0716930984 -0.0564933119 -0.2271577725 -0.1687108003 0.0589185625
#> [241] -0.0516819330 -0.0210968528 -0.0331736786 0.0574311067 -0.0533372808
#> [246] 0.0437814251 0.1040341760 0.1522969790 -0.0095213153 0.0638887654
#> [251] 0.1160266641 -0.0740052258 0.2238516187 -0.0735030068 -0.0596390956
#> [256] -0.0044565419 -0.1922743614 0.1898370933 0.0888471699 -0.2289336786
#> [261] -0.0186819322 -0.0311218836 -0.0220738448 0.1748366570 -0.0888455139
#> [266] -0.1235393237 -0.0104244350 0.1094358203 0.0389193611 0.0534058208
#> [271] -0.1456599545 -0.0535490060 0.0431667709 -0.1539915321 0.1677644709
#> [276] 0.0722654634 0.1716566594 0.0061191685 -0.3802625265 0.0018929255
#> [281] -0.1650028297 -0.1615569704 0.0896590254 -0.2316390282 -0.0330435239
#> [286] 0.0021648318 -0.1603953003 0.0393909787 0.0037855088 -0.1153102978
#> [291] 0.0240864126 -0.0776756789 -0.0164715415 -0.0294534938 -0.1164400667
#> [296] 0.0792951825 -0.0063765059 -0.2829490715 -0.1112053777 -0.1275069283
#> [301] 0.0675891060 -0.2444907238 -0.1716969988 -0.0349178695 -0.0083981174
#> [306] -0.0703995527 -0.0016421225 -0.0606985242 -0.0673303112 -0.2184122992
#> [311] 0.0550965552 0.1325081272 0.0360956859 -0.0489121799 0.0470489501
#> [316] 0.0694548067 -0.1700615078 -0.0131028497 -0.0792706918 0.0403296672
#> [321] 0.0582467983 0.1314468504 0.1301275719 -0.0039927692 0.0699309655
#> [326] -0.2210680196 -0.0544911396 -0.1680290660 -0.0623227168 -0.1453013628
#> [331] -0.0981902290 0.2206279220 -0.1368718789 -0.0947488589 -0.0479099916
#> [336] 0.2470414953 -0.0700493360 0.0326594569 -0.0049372121 0.0178646904
#> [341] -0.0279953568 -0.1667477829 -0.0740205561 0.0311733043 0.1178402754
#> [346] -0.0646160490 -0.0993644413 -0.0801402624 0.0829741143 -0.1304137940
#> [351] -0.1806396056 -0.1108681635 0.1736490584 0.1894646707 0.0882539073
#> [356] 0.0483878611 0.1053207631 0.0046045413 0.1242739907 0.0483862258
#> [361] 0.2684578510 -0.1619320951 0.0209593261 -0.0813298482 0.1101053707
#> [366] 0.0867935341 0.0055227565 0.1024408669 0.0076114745 -0.1147254867
#> [371] -0.0829789349 -0.1284203097 0.0594738900 0.0371589528 -0.1273427965
#> [376] -0.1283952197 -0.1289308432 0.0619723921 -0.1040119515 0.0550293460
#> [381] 0.0084453734 0.0956824615 0.0013124263 0.0207048974 -0.0926466523
#> [386] 0.1573401976 0.0398842532 -0.1051606193 0.0409973941 -0.0483422745
#> [391] 0.1498758697 -0.0625149740 -0.1135949037 -0.0638963352 0.1760381727
#> [396] -0.0407833247 -0.0852398951 -0.0947963873 0.0034620893 0.0349606341
#> [401] 0.0590920043 -0.0025591865 0.0351614796 -0.0166082220 -0.0422010836
#> [406] 0.0115182196 0.0843276130 -0.2214286238 -0.2517909198 -0.1694113036
#> [411] -0.0806248210 -0.0966534116 0.0350186543 -0.0165141803 -0.1145915051
#> [416] 0.0443750541 -0.0731361229 0.0729398402 0.0415127849 -0.0530862525
#> [421] 0.0226759171 -0.2263900633 0.0296291131 -0.1247784976 0.0145710579
#> [426] 0.0808718211 -0.0497609538 -0.2849454859 -0.0498724463 -0.1537532456
#> [431] 0.1421232529 -0.1027042164 -0.0004934536 -0.0796166905 -0.1809700106
#> [436] -0.1773412701 0.0858228525 0.0846032315 0.0014451608 -0.0914032560
#> [441] -0.0850298574 -0.2398598552 -0.0123859721 -0.2214113942 0.0258827516
#> [446] -0.1008798464 -0.1184675744 -0.1056510171 0.0531772213 -0.0317556919
#> [451] 0.1530858886 0.0502256379 0.0287154132 -0.1382111531 -0.0316828329
#> [456] 0.1884703085 -0.0294986944 0.1698970101 0.0720066888 0.1843506002
#> [461] -0.0397751405 -0.1265524932 -0.0729934519 0.0276339813 -0.1765446015
#> [466] -0.1255518868 0.0572746764 0.0889822686 -0.1083917774 -0.1080625793
#> [471] -0.1742600833 0.0309056427 -0.0047613439 -0.1415161462 -0.0231385021
#> [476] -0.0476150159 -0.1420863624 -0.0364619492 0.0286646725 -0.1021271109
#> [481] -0.0993865088 0.0201579371 -0.0863787150 -0.0373864319 0.0684483650
#> [486] 0.1611744430 0.0264168848 0.0585309353 0.1111431023 0.0128702946
#> [491] -0.0766629383 0.0324074789 -0.0921403925 0.1366174080 -0.0726840061
#> [496] 0.2865721237 -0.1337477871 0.0238811637 0.0413108209 -0.0179058102
#> [501] -0.0440764565 -0.0405610690 -0.1073015892 0.0801079011 0.1279511844
#> [506] 0.0073758704 -0.0486671976 -0.2635958766 -0.0326385523 -0.0097374445
#> [511] 0.0228626582 -0.1437663149 -0.0949663751 0.0515052485 0.0955732589
#> [516] -0.1513464388 -0.1515438922 0.1332572410 -0.0987603903 0.0212006686
#> [521] -0.2437417501 0.0437951541 0.0570722010 -0.0933772094 0.2306319538
#> [526] -0.0247269411 0.0022023847 0.0500406273 -0.1079742767 0.0482336862
#> [531] -0.0347744589 -0.0911424616 -0.1083272315 0.1319654010 0.1275125719
#> [536] -0.0465681160 -0.2006968792 -0.0754118884 -0.0397731910 0.0235401075
#> [541] -0.1936346652 -0.0741686671 0.0049324412 -0.0061908470 -0.1087214442
#> [546] -0.2238025725 -0.0577360477 -0.0751268539 0.0857770425 0.0401688565
#> [551] 0.0470063353 0.1455790259 -0.0223074592 0.0842234666 -0.0358406383
#> [556] -0.0474229906 -0.2190037914 0.0944439136 0.2806708831 0.1849862609
#> [561] -0.1151015519 0.0073890989 -0.1069632741 0.1290430498 0.0002470467
#> [566] 0.1217818673 -0.0475607286 0.0193838448 -0.1169233530 0.1106521175
#> [571] 0.0287233136 -0.2230702253 -0.0556709797 -0.1037731436 -0.0087597130
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#> [1541] -0.0583952539 -0.0508210370 0.0166857300 0.0520044239 0.0314728634
#> [1546] 0.1724383949 0.0906085998 0.0270454725 0.0600734124 -0.1185127143
#> [1551] -0.0072234426 -0.0773286969 -0.1430502195 0.2208497001 -0.0867012527
#> [1556] 0.1838523759 -0.0862322987 -0.0633458748 -0.0242829398 -0.0711486803
#> [1561] 0.0578639990 0.0611216919 -0.0511505789 0.2236808725 -0.1391097776
#> [1566] -0.1603618630 0.0581923681 -0.0622983051 0.0696145148 -0.0974225355
#> [1571] -0.2187998809 0.2031688606 -0.0043209866 0.1423963585 0.0782704690
#> [1576] 0.0920242463 -0.1715847518 -0.1439066877 -0.1083953398 0.0279287348
#> [1581] 0.0388155149 0.0277806432 -0.1271253077 -0.0678964813 -0.2263342259
#> [1586] 0.1528000017 -0.0861983552 -0.0176012731 -0.0053987550 0.0039449452
#> [1591] 0.0920948379 0.0536990414 -0.0863181864 0.0343310601 -0.1232467292
#> [1596] 0.0211734605 0.1030474682 0.0078434835 0.0157921909 -0.0431287704
#> [1601] -0.1640782021 -0.0848976356 0.1299378528 -0.0802267002 0.0788275233
#> [1606] -0.0446998809 -0.0385813054 0.1864173495 -0.0292620717 -0.1344869620
#> [1611] -0.0763790241 -0.0720935348 -0.2266199385 0.0289672918 0.0425954703
#> [1616] -0.0078516905 -0.1290957638 -0.1478911277 0.0734679015 -0.0077486049
#> [1621] -0.0140769016 0.1102756845 0.0362398984 -0.0658284271 0.0368057343
#> [1626] -0.0305662986 -0.1457609819 -0.0093029653 0.1278176707 0.0001587242
#> [1631] -0.1318858747 -0.0658092735 -0.0932197549 -0.0126275707 0.0615814933
#> [1636] 0.0304403692 0.0469823540 -0.1023498380 -0.0520574748 -0.0932736637
#> [1641] 0.1159669449 0.0209967313 0.0838090343 0.1640459784 -0.1263501781
#> [1646] 0.2568308622 -0.0259277723 -0.1372136706 -0.1285148463 0.0306631911
#> [1651] -0.0913273446 -0.1007379694 0.1114802500 0.0789283999 -0.0126494849
#> [1656] -0.1122638065 0.1075946023 -0.1405195058 -0.1160078590 0.0652195998
#> [1661] -0.1375973989 -0.1404363590 -0.0925591183 0.1030628854 -0.0482348884
#> [1666] 0.0169772384 -0.2548660786 -0.0998006582 -0.1487315744 -0.0190953127
#> [1671] 0.0201670068 -0.0752082543 0.0159609890 -0.1464049100 -0.1664627271
#> [1676] 0.1437431599 -0.0209141748 0.2447290489 0.1082035093 0.0717317827
#> [1681] 0.1086621432 -0.0630441946 0.0511768775 0.1642899103 -0.0450625514
#> [1686] -0.1332547684 -0.0645423914 -0.1286543818 -0.0448820831 0.1222006238
#> [1691] -0.1547103551 -0.1212235972 -0.0689220121 0.2392300185 0.0363964026
#> [1696] 0.0988183092 -0.3180201925 0.2797036597 -0.1821877303 -0.0338320155
#> [1701] 0.2556637406 0.0501271784 -0.1859465732 -0.0183488837 -0.0525256158
#> [1706] -0.0530513577 -0.1635576916 -0.0239029208 -0.2057110505 -0.1906057376
#> [1711] 0.0189192539 -0.0264527355 -0.2277959291 -0.1303910328 -0.1705578920
#> [1716] -0.1625885777 0.0166839217 0.0246621900 -0.1539620419 -0.1088963754
#> [1721] -0.2256149442 0.2378053253 0.0767565640 -0.1136441174 -0.1043567774
#> [1726] 0.1267101608 -0.0195884172 -0.1199633246 0.0707711206 -0.0457421026
#> [1731] 0.2075580154 -0.0025540042 -0.0315401841 0.0911549860 -0.0050923466
#> [1736] -0.1921535135 -0.0137919745 0.2796884860 -0.1836781908 -0.0609141585
#> [1741] 0.0724867555 -0.0610213150 0.0693608110 0.1517211429 0.0967239936
#> [1746] -0.0796432189 -0.1060129284 -0.0641082725 -0.0305272046 -0.1143968697
#> [1751] 0.1704516369 0.0854500450 -0.1587921246 -0.0356500634 0.0587836061
#> [1756] -0.0947696212 0.0211024320 -0.1205456725 0.1513260163 0.2472121841
#> [1761] 0.2331380175 0.1241924738 0.3421397954 -0.0562806477 0.0250013561
#> [1766] 0.0964697199 0.0577472442 0.0377714661 0.0485139917 -0.0884433207
#>
#> $mod2_unimodal$ref_properties$feature$prop_outliers_feature
#> [1] 0
#>
#>
#>
#> $mod2_unimodal$sim_properties
#> $mod2_unimodal$sim_properties$cell
#> $mod2_unimodal$sim_properties$cell$library_size
#> [1] 24 26 21 24 24 17 21 20 22 27 14 23 27 20 18 17 20 22 23 19 25 23 27 20 23
#> [26] 28 26 15 20 18 26 20 32 21 25 19 28 30 23 31 27 31 34 36 29 33 33 34 29 35
#> [51] 34 34 26 35 26 32 24 29 25 28 31 25 37 27 36 35 27 30 30 32 29 31 29 21 28
#> [76] 31 31 27 31 26
#>
#> $mod2_unimodal$sim_properties$cell$log_library_size
#> [1] 3.218876 3.295837 3.091042 3.218876 3.218876 2.890372 3.091042 3.044522
#> [9] 3.135494 3.332205 2.708050 3.178054 3.332205 3.044522 2.944439 2.890372
#> [17] 3.044522 3.135494 3.178054 2.995732 3.258097 3.178054 3.332205 3.044522
#> [25] 3.178054 3.367296 3.295837 2.772589 3.044522 2.944439 3.295837 3.044522
#> [33] 3.496508 3.091042 3.258097 2.995732 3.367296 3.433987 3.178054 3.465736
#> [41] 3.332205 3.465736 3.555348 3.610918 3.401197 3.526361 3.526361 3.555348
#> [49] 3.401197 3.583519 3.555348 3.555348 3.295837 3.583519 3.295837 3.496508
#> [57] 3.218876 3.401197 3.258097 3.367296 3.465736 3.258097 3.637586 3.332205
#> [65] 3.610918 3.583519 3.332205 3.433987 3.433987 3.496508 3.401197 3.465736
#> [73] 3.401197 3.091042 3.367296 3.465736 3.465736 3.332205 3.465736 3.295837
#>
#> $mod2_unimodal$sim_properties$cell$tmm_factor
#> [1] 1.0711448 0.9887491 1.2241655 1.0711448 1.0711448 1.5122045 1.2241655
#> [8] 1.2853738 1.1685216 0.9521287 1.8362483 1.1177164 0.9521287 1.2853738
#> [15] 1.4281931 1.5122045 1.2853738 1.1685216 1.1177164 2.2447861 1.0282990
#> [22] 1.1177164 0.9521287 1.2853738 1.1177164 0.9181242 0.9887491 1.7138317
#> [29] 1.2853738 1.4281931 0.9887491 1.2853738 0.8033586 1.2241655 1.0282990
#> [36] 1.3530251 0.9181242 0.8569159 1.1177164 0.8292734 0.9521287 0.8292734
#> [43] 0.7561022 0.7140966 0.8864647 0.7790144 0.7790144 0.7561022 0.8864647
#> [50] 0.7344993 0.7561022 0.7561022 0.9887491 0.7344993 0.9887491 0.8033586
#> [57] 1.0711448 0.8864647 1.0282990 0.9181242 0.8292734 1.0282990 0.6947967
#> [64] 0.9521287 0.7140966 0.7344993 0.9521287 0.8569159 0.8569159 0.8033586
#> [71] 0.8864647 0.8292734 0.8864647 1.2241655 0.9181242 0.8292734 0.8292734
#> [78] 0.9521287 0.8292734 0.9887491
#>
#> $mod2_unimodal$sim_properties$cell$effective_library_size
#> [1] 25.70748 25.70748 25.70748 25.70748 25.70748 25.70748 25.70748 25.70748
#> [9] 25.70748 25.70748 25.70748 25.70748 25.70748 25.70748 25.70748 25.70748
#> [17] 25.70748 25.70748 25.70748 42.65094 25.70748 25.70748 25.70748 25.70748
#> [25] 25.70748 25.70748 25.70748 25.70748 25.70748 25.70748 25.70748 25.70748
#> [33] 25.70748 25.70748 25.70748 25.70748 25.70748 25.70748 25.70748 25.70748
#> [41] 25.70748 25.70748 25.70748 25.70748 25.70748 25.70748 25.70748 25.70748
#> [49] 25.70748 25.70748 25.70748 25.70748 25.70748 25.70748 25.70748 25.70748
#> [57] 25.70748 25.70748 25.70748 25.70748 25.70748 25.70748 25.70748 25.70748
#> [65] 25.70748 25.70748 25.70748 25.70748 25.70748 25.70748 25.70748 25.70748
#> [73] 25.70748 25.70748 25.70748 25.70748 25.70748 25.70748 25.70748 25.70748
#>
#> $mod2_unimodal$sim_properties$cell$zero_fraction_cell
#> [1] 0.6166667 0.6500000 0.6833333 0.6666667 0.6666667 0.7166667 0.7000000
#> [8] 0.7000000 0.6833333 0.6000000 0.7833333 0.6333333 0.6166667 0.6833333
#> [15] 0.7000000 0.7500000 0.6833333 0.6666667 0.6666667 0.7333333 0.6500000
#> [22] 0.6500000 0.5833333 0.7000000 0.6500000 0.5833333 0.6666667 0.7500000
#> [29] 0.7000000 0.7000000 0.6166667 0.6666667 0.5166667 0.6833333 0.6333333
#> [36] 0.7500000 0.5833333 0.5666667 0.6500000 0.5500000 0.6000000 0.5833333
#> [43] 0.5166667 0.5000000 0.6166667 0.5000000 0.5166667 0.5166667 0.6000000
#> [50] 0.5500000 0.5000000 0.5666667 0.6333333 0.5000000 0.6333333 0.5833333
#> [57] 0.6833333 0.5833333 0.6333333 0.5833333 0.5166667 0.6333333 0.4500000
#> [64] 0.5833333 0.4833333 0.5500000 0.6000000 0.5333333 0.5833333 0.5166667
#> [71] 0.5500000 0.5833333 0.5666667 0.7000000 0.6333333 0.5500000 0.5666667
#> [78] 0.6000000 0.5333333 0.6666667
#>
#> $mod2_unimodal$sim_properties$cell$detection_freq_cell
#> [1] 0.3833333 0.3500000 0.3166667 0.3333333 0.3333333 0.2833333 0.3000000
#> [8] 0.3000000 0.3166667 0.4000000 0.2166667 0.3666667 0.3833333 0.3166667
#> [15] 0.3000000 0.2500000 0.3166667 0.3333333 0.3333333 0.2666667 0.3500000
#> [22] 0.3500000 0.4166667 0.3000000 0.3500000 0.4166667 0.3333333 0.2500000
#> [29] 0.3000000 0.3000000 0.3833333 0.3333333 0.4833333 0.3166667 0.3666667
#> [36] 0.2500000 0.4166667 0.4333333 0.3500000 0.4500000 0.4000000 0.4166667
#> [43] 0.4833333 0.5000000 0.3833333 0.5000000 0.4833333 0.4833333 0.4000000
#> [50] 0.4500000 0.5000000 0.4333333 0.3666667 0.5000000 0.3666667 0.4166667
#> [57] 0.3166667 0.4166667 0.3666667 0.4166667 0.4833333 0.3666667 0.5500000
#> [64] 0.4166667 0.5166667 0.4500000 0.4000000 0.4666667 0.4166667 0.4833333
#> [71] 0.4500000 0.4166667 0.4333333 0.3000000 0.3666667 0.4500000 0.4333333
#> [78] 0.4000000 0.4666667 0.3333333
#>
#> $mod2_unimodal$sim_properties$cell$cell_cor
#> [1] 1.409019e-01 1.379678e-01 -5.169852e-02 -6.530445e-02 1.405161e-01
#> [6] 1.571071e-01 -2.385239e-01 1.343616e-01 3.137176e-02 -2.889610e-02
#> [11] 2.775606e-02 4.575116e-02 -1.842553e-02 -9.808332e-02 4.078201e-01
#> [16] 1.690800e-02 2.570231e-02 2.018427e-01 1.132084e-01 8.930881e-02
#> [21] -2.799989e-02 -2.017273e-01 3.560701e-01 -2.956144e-01 2.623026e-01
#> [26] 8.743421e-03 -7.485630e-02 3.126842e-02 3.982418e-01 2.625455e-02
#> [31] 3.318686e-01 2.634796e-01 -1.599697e-01 -2.493618e-02 2.138784e-01
#> [36] -2.030516e-01 1.899473e-01 -2.419791e-03 9.546427e-03 -1.135043e-01
#> [41] 4.703992e-02 8.930465e-02 2.901397e-02 -2.799699e-02 8.817664e-02
#> [46] -1.720630e-01 2.552310e-01 -2.633597e-04 1.777694e-01 2.769371e-01
#> [51] 1.299026e-01 3.725572e-02 3.559969e-02 -5.897094e-03 3.763591e-02
#> [56] 2.071956e-01 2.788002e-01 -2.325976e-01 5.365742e-03 -1.825954e-02
#> [61] 1.528018e-01 -1.216884e-01 4.023051e-03 -2.862695e-02 -1.293654e-01
#> [66] 2.344189e-02 1.228362e-02 -1.395633e-02 4.321961e-02 2.893351e-02
#> [71] -6.680583e-02 -6.856931e-02 1.461189e-01 1.044824e-01 -1.196879e-01
#> [76] 2.741181e-02 5.923863e-02 1.305716e-01 1.539788e-01 2.459966e-01
#> [81] 1.443459e-01 1.298775e-01 -8.138105e-02 -3.696984e-02 6.878466e-02
#> [86] -7.332471e-02 2.595314e-01 4.740713e-02 6.208902e-02 3.494475e-02
#> [91] -1.282718e-01 -1.922935e-01 8.747731e-03 -4.270745e-02 -3.045725e-02
#> [96] 6.599070e-02 -1.694927e-01 2.202643e-01 3.154637e-02 -1.471225e-01
#> [101] -8.049767e-02 2.628146e-01 2.128600e-02 -9.562236e-02 1.558004e-02
#> [106] -5.890837e-02 5.111284e-03 -8.289728e-02 1.202956e-02 1.754534e-01
#> [111] 7.083997e-02 -1.857313e-02 -4.323988e-02 -6.843868e-02 8.112238e-02
#> [116] 3.311893e-02 -1.148879e-01 -1.996192e-01 -1.557539e-01 2.911739e-01
#> [121] 5.579118e-02 6.662536e-02 -2.388123e-02 2.591737e-01 -1.744710e-01
#> [126] -1.188316e-02 8.802377e-02 7.384078e-02 6.257634e-02 -1.432988e-01
#> [131] -2.723510e-01 3.494475e-02 1.190665e-01 1.552398e-01 -1.376237e-01
#> [136] 2.279103e-04 2.214561e-02 1.591272e-01 3.970998e-02 2.155137e-02
#> [141] -9.208314e-02 2.362298e-01 -8.488681e-02 2.079162e-01 7.571129e-02
#> [146] 7.331795e-02 -1.081418e-01 1.380133e-01 1.900525e-02 1.900029e-01
#> [151] -8.934271e-02 -6.945436e-03 2.409488e-02 1.260619e-01 2.372982e-01
#> [156] 3.116436e-02 1.881594e-01 -7.544279e-02 2.846774e-02 4.559245e-02
#> [161] 1.510549e-01 7.508613e-02 8.934272e-02 1.529824e-01 -3.370500e-02
#> [166] -5.927817e-02 3.796739e-02 7.507236e-02 8.601582e-02 2.970990e-01
#> [171] 2.328638e-01 -2.977830e-04 6.727690e-02 -1.735143e-02 6.805892e-02
#> [176] -6.388139e-02 -6.088682e-02 -2.326559e-02 2.713336e-02 -2.396302e-01
#> [181] -2.398302e-01 -1.448456e-01 4.293525e-05 3.995636e-02 -6.455415e-02
#> [186] 1.768934e-02 -8.489117e-02 1.841352e-01 -8.534235e-03 5.816037e-02
#> [191] 1.037706e-01 1.771616e-01 1.515797e-01 -4.262834e-02 -3.589755e-02
#> [196] 0.000000e+00 1.542872e-01 2.535875e-01 1.408888e-01 1.685940e-01
#> [201] 2.138244e-01 -8.259711e-02 -8.831976e-02 -5.896231e-02 0.000000e+00
#> [206] -4.002441e-02 -1.266757e-01 1.528748e-01 5.820682e-02 -1.138177e-01
#> [211] -3.160873e-02 7.805138e-02 -2.620193e-01 -6.837619e-02 -6.837619e-02
#> [216] -1.153835e-02 -1.280795e-01 1.355876e-01 2.882234e-02 -1.952853e-02
#> [221] 2.231217e-01 2.473605e-01 2.591866e-02 -7.028401e-02 -1.575829e-01
#> [226] -2.677696e-02 2.301554e-02 -4.496684e-02 5.295404e-03 8.485714e-02
#> [231] 6.240546e-02 -1.724601e-01 1.009655e-01 3.522355e-02 3.326423e-01
#> [236] 2.694745e-01 1.509009e-01 -1.321287e-01 1.925735e-02 3.118935e-02
#> [241] 2.310246e-02 3.813651e-01 1.045016e-01 6.353878e-02 2.112465e-01
#> [246] -2.310912e-02 -1.745184e-01 -2.972612e-02 1.823744e-01 1.831024e-01
#> [251] 1.884070e-01 7.915723e-02 2.094252e-01 9.204913e-03 -4.805829e-02
#> [256] 8.852143e-02 -2.000898e-02 2.555769e-02 -7.485630e-02 4.429693e-03
#> [261] -3.430860e-02 5.604225e-02 -3.539013e-02 3.501122e-01 -4.047935e-02
#> [266] 1.638096e-01 7.384078e-02 2.076803e-01 -2.760984e-01 2.309406e-02
#> [271] 1.910901e-02 -8.239740e-02 2.713336e-02 1.821298e-01 1.689104e-01
#> [276] 2.517556e-01 2.309172e-01 1.718044e-01 1.529028e-01 1.602164e-01
#> [281] -4.467030e-02 -2.820487e-01 -1.534455e-01 -7.148939e-02 7.400330e-02
#> [286] -2.708421e-02 -8.974313e-02 4.244330e-02 1.343642e-02 -9.257774e-02
#> [291] 1.348910e-01 2.497339e-01 -7.028401e-02 1.758126e-01 1.873198e-01
#> [296] 3.311287e-02 -1.387407e-01 -7.689535e-02 6.487543e-02 -4.885665e-03
#> [301] 3.187414e-01 4.277660e-02 6.751525e-02 -3.724522e-02 -8.200142e-02
#> [306] 6.894547e-02 -2.310551e-01 -5.678288e-02 3.478538e-01 1.680015e-01
#> [311] -1.354548e-01 -7.639960e-05 1.373544e-01 -2.396397e-03 -1.997558e-01
#> [316] -7.629335e-03 -3.814430e-02 2.326954e-01 1.624574e-02 -2.609094e-02
#> [321] 1.567792e-01 1.723608e-01 1.665695e-01 1.877925e-01 1.444770e-01
#> [326] -1.209937e-01 -2.073765e-02 2.896158e-01 5.351701e-02 -7.469746e-02
#> [331] -1.593851e-01 -4.146756e-02 -7.577766e-02 6.560418e-02 -2.981162e-01
#> [336] 2.007154e-01 -5.818685e-02 2.117917e-01 -1.867108e-01 -8.847529e-02
#> [341] -1.549547e-01 -2.737598e-02 -5.219761e-02 1.443193e-01 -3.315540e-02
#> [346] -1.251346e-01 3.573663e-03 -7.329519e-02 1.013160e-02 1.526235e-01
#> [351] -9.300735e-02 -3.544915e-02 -2.512812e-02 -1.520273e-01 1.020709e-01
#> [356] -1.020709e-01 -2.135407e-02 -5.827645e-02 1.891847e-01 1.297498e-01
#> [361] 2.594445e-01 -9.944556e-02 3.180280e-02 2.659670e-01 -6.732748e-02
#> [366] -4.199605e-02 3.243679e-02 -6.732748e-02 1.431779e-01 6.732976e-03
#> [371] -2.635290e-01 -1.948961e-01 -3.335402e-02 -3.475383e-02 -2.142239e-01
#> [376] 2.548247e-01 6.277990e-02 -1.337621e-02 3.066798e-01 1.580004e-01
#> [381] 1.182286e-01 4.371711e-03 -5.027467e-02 -1.764470e-01 1.550393e-01
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#> [1851] 2.011208e-01 -1.636056e-02 1.155177e-01 8.156735e-02 -4.154281e-02
#> [1856] 1.606390e-01 1.778409e-01 -5.916918e-02 1.078236e-01 3.727308e-03
#> [1861] 2.599930e-03 4.589586e-02 5.982731e-02 1.013596e-01 2.128798e-01
#> [1866] 3.128113e-02 -5.503724e-02 -1.369079e-01 1.305687e-01 1.927796e-01
#> [1871] 2.157176e-01 1.407611e-01 1.459305e-01 3.065840e-01 1.871546e-01
#> [1876] 9.551898e-02 2.008178e-01 1.354031e-01 1.014983e-01 1.967569e-01
#> [1881] 7.584152e-02 1.202983e-01 3.335871e-01 -7.340798e-04 6.215740e-02
#> [1886] 2.032152e-02 -7.999776e-02 2.006868e-01 6.210371e-02 1.880250e-01
#> [1891] 3.094298e-02 2.300938e-01 9.392635e-02 1.523733e-01 3.989961e-02
#> [1896] 1.516185e-01 7.780338e-02 -1.353311e-02 -1.052653e-01 1.101853e-01
#> [1901] -2.912907e-01 1.506801e-02 7.294071e-02 -1.101770e-01 2.242615e-01
#> [1906] -4.001859e-02 -2.212009e-01 9.702532e-02 1.221262e-01 1.701734e-01
#> [1911] 1.813378e-01 8.479611e-02 6.981149e-02 1.054850e-01 8.468011e-02
#> [1916] 9.086338e-03 8.873024e-02 3.580228e-02 -1.980565e-01 1.416403e-01
#> [1921] 1.694905e-01 -1.638374e-02 -5.034444e-02 6.150603e-03 1.659428e-01
#> [1926] 9.938902e-02 -3.962192e-02 1.624507e-01 -3.477830e-02 -5.163882e-02
#> [1931] 1.318271e-01 -7.434207e-02 4.230105e-02 1.420303e-01 1.878838e-01
#> [1936] 6.743447e-02 -2.770089e-02 3.303685e-01 2.977650e-01 5.858322e-02
#> [1941] 2.414070e-01 1.006924e-02 2.192672e-01 2.489830e-01 1.877656e-02
#> [1946] -1.675438e-01 1.401093e-01 -1.722088e-01 1.039375e-01 1.008447e-01
#> [1951] 8.873024e-02 -2.879945e-02 3.104940e-01 -6.045894e-03 -1.259580e-01
#> [1956] -1.810363e-01 -1.546522e-01 2.243546e-01 1.917184e-01 -5.654045e-02
#> [1961] 4.846566e-02 -1.931485e-01 2.969115e-01 2.322077e-02 1.053459e-02
#> [1966] 1.007377e-01 6.983848e-03 4.743452e-02 9.419809e-02 6.983848e-03
#> [1971] 1.937190e-01 3.155055e-02 -2.639366e-01 6.558358e-02 1.713268e-01
#> [1976] 4.480895e-02 4.846566e-02 -1.289201e-01 1.205393e-01 -1.909471e-01
#> [1981] 7.208201e-02 -1.372992e-01 4.743452e-02 -2.827972e-04 -1.111408e-01
#> [1986] -1.313030e-02 -3.149493e-02 1.142420e-03 6.460695e-02 -8.677273e-02
#> [1991] -1.259119e-01 -1.300986e-01 -1.822397e-01 6.863450e-02 3.105515e-01
#> [1996] 3.468461e-01 2.329794e-01 -9.266203e-03 -1.652053e-01 8.851549e-02
#> [2001] 2.047277e-01 -1.097719e-01 2.047594e-01 1.239211e-01 8.997231e-02
#> [2006] 1.988674e-01 -1.467781e-01 1.510010e-01 2.559623e-01 -1.843121e-01
#> [2011] 8.504716e-02 2.055975e-01 8.998242e-03 1.498623e-01 7.686581e-02
#> [2016] 2.134772e-01 1.385111e-01 -1.471147e-01 1.324518e-01 7.648458e-02
#> [2021] -2.551981e-02 -1.189913e-03 -7.492076e-02 -1.620436e-01 1.305024e-01
#> [2026] -3.090999e-02 -1.019532e-01 1.393536e-01 -8.375380e-02 -3.062604e-04
#> [2031] -2.024227e-01 -1.429960e-01 7.599087e-03 -3.755824e-02 1.983961e-01
#> [2036] -1.036751e-01 -9.192383e-02 4.038708e-02 2.359768e-02 4.224529e-03
#> [2041] -4.477335e-02 3.210569e-01 2.877099e-02 -6.067617e-02 1.818873e-01
#> [2046] -2.667767e-01 -5.430237e-02 -9.099530e-03 -8.621361e-02 -3.644238e-03
#> [2051] 6.110598e-02 2.898838e-02 -2.179289e-02 4.841649e-02 9.967599e-02
#> [2056] 1.678725e-01 4.202248e-02 1.460503e-01 3.628432e-01 2.678832e-01
#> [2061] 1.601870e-01 1.305013e-01 2.315416e-01 1.416777e-01 -4.034855e-03
#> [2066] 1.238258e-01 -1.748245e-02 2.415383e-01 2.947674e-01 1.201177e-01
#> [2071] 4.776459e-02 1.436842e-01 -3.058436e-01 1.058127e-01 -1.082726e-01
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#> [2926] 3.247762e-01 -6.651872e-02 6.510390e-02 9.546427e-03 -2.904306e-01
#> [2931] 6.927272e-02 1.860514e-02 -1.088024e-01 -7.405264e-02 -2.633994e-01
#> [2936] 4.773954e-02 3.289757e-02 -4.052410e-02 3.781135e-02 -9.098337e-03
#> [2941] -4.024884e-02 -1.085486e-01 -7.619858e-02 1.699376e-01 1.167380e-01
#> [2946] -1.134849e-01 -6.751846e-02 1.755243e-02 5.949445e-02 1.055644e-01
#> [2951] 6.771054e-02 4.710740e-02 -6.211726e-02 8.131842e-02 -1.228959e-01
#> [2956] -1.097696e-01 -1.713993e-01 2.845552e-02 6.388054e-02 -8.388923e-02
#> [2961] 1.275632e-01 -3.399404e-02 1.860296e-01 -5.212492e-02 -1.783722e-01
#> [2966] -2.185507e-02 4.773954e-02 1.787574e-01 2.413609e-01 2.830010e-01
#> [2971] 1.448885e-01 -2.690023e-02 1.132047e-01 1.550174e-01 1.907708e-01
#> [2976] 2.395431e-01 -4.717061e-02 4.676492e-02 3.430408e-01 2.345631e-01
#> [2981] 2.232506e-01 2.141721e-01 -2.712561e-01 1.467973e-01 2.135409e-01
#> [2986] 1.680015e-01 1.438853e-01 8.947181e-02 9.886952e-02 3.072852e-01
#> [2991] 8.183326e-02 2.363492e-01 1.086370e-01 6.875967e-02 2.021424e-01
#> [2996] 1.284185e-01 -1.076261e-01 8.832976e-03 1.066042e-01 2.212315e-02
#> [3001] 2.427984e-01 1.554016e-02 3.569909e-01 -2.505493e-01 -2.502795e-01
#> [3006] 1.179813e-01 5.870362e-02 -9.285846e-02 -3.006202e-01 -6.344467e-02
#> [3011] -7.485853e-02 5.303042e-02 5.077704e-02 3.750901e-02 -1.976999e-01
#> [3016] -1.053532e-01 -3.223257e-02 1.072770e-02 -1.122354e-01 6.555711e-02
#> [3021] -5.187089e-02 1.770359e-01 -1.521077e-01 -1.382926e-01 1.365683e-01
#> [3026] 1.646760e-01 7.592455e-02 -4.203267e-02 -4.618320e-02 2.027736e-01
#> [3031] 4.541254e-02 -1.733275e-01 -1.251565e-01 -1.146832e-01 -2.526019e-01
#> [3036] -5.771832e-02 -2.105004e-02 -6.829516e-03 -9.343076e-02 -2.234067e-01
#> [3041] -1.274613e-01 4.322548e-02 -1.297807e-01 4.835909e-03 4.019465e-02
#> [3046] 3.196101e-01 1.007065e-01 -1.285262e-02 -2.327040e-01 1.436789e-01
#> [3051] 1.140115e-01 2.866334e-02 1.593846e-01 1.494163e-02 9.232937e-02
#> [3056] 3.068303e-01 -5.237940e-02 1.762191e-01 3.936874e-02 2.973823e-02
#> [3061] 1.955405e-01 1.686667e-01 1.504409e-01 1.041616e-01 1.790975e-01
#> [3066] 3.234959e-02 1.339511e-01 1.869073e-01 1.322444e-01 9.358583e-02
#> [3071] 4.436677e-02 8.244881e-02 -8.721998e-02 1.462251e-01 7.841104e-02
#> [3076] 2.445585e-01 -3.201770e-02 1.251383e-01 8.361063e-02 1.209890e-01
#> [3081] 1.489240e-01 -1.019476e-02 1.193709e-01 -1.021034e-01 -5.287028e-02
#> [3086] 9.054237e-03 -1.285364e-02 -6.527070e-02 -1.243423e-01 1.343324e-01
#> [3091] 1.047719e-01 7.931343e-02 2.119293e-01 3.055830e-01 -6.161664e-03
#> [3096] -2.022292e-02 9.762326e-03 -9.325203e-02 2.691185e-02 2.646462e-02
#> [3101] -3.913638e-02 -2.994292e-01 5.015175e-02 9.839840e-03 7.962934e-02
#> [3106] -2.023737e-02 -5.969128e-02 2.206119e-01 1.578392e-01 6.196184e-03
#> [3111] -8.847529e-02 1.333037e-01 -9.337991e-02 1.021944e-02 7.481537e-02
#> [3116] 2.003975e-01 4.586488e-02 2.005134e-03 -2.008850e-01 9.817536e-02
#> [3121] -1.331587e-02 2.371644e-01 7.692833e-02 2.783001e-01 4.458735e-02
#> [3126] 1.057673e-01 2.597288e-01 1.526923e-01 2.283843e-01 -8.562750e-03
#> [3131] 1.141427e-01 3.641806e-02 2.604241e-01 4.748578e-01 1.726931e-01
#> [3136] 1.741171e-01 3.403173e-01 6.314923e-02 -2.108217e-02 2.700063e-01
#> [3141] 3.370938e-01 5.964321e-02 3.252897e-02 -6.898032e-02 6.887888e-02
#> [3146] -2.422428e-03 1.787688e-01 1.552349e-01 1.887927e-01 1.090442e-01
#> [3151] 6.847025e-02 -3.054693e-02 2.697640e-01 -1.412822e-01 1.588546e-01
#> [3156] 3.524366e-02 4.490976e-01 1.747440e-01 1.115314e-01 9.400249e-02
#>
#> $mod2_unimodal$sim_properties$cell$pca_dist
#> [1] 59.20746 67.62507 71.67567 78.94206 64.71829 66.77157 74.25407 44.84848
#> [9] 60.73745 77.97632 57.26959 68.54766 63.98844 76.79616 69.96612 63.76130
#> [17] 61.25159 63.07481 69.99815 58.26960 65.62891 81.39173 68.07499 61.46782
#> [25] 46.77573 77.32473 69.45624 47.98109 74.21366 77.96240 80.74718 55.27241
#> [33] 57.93708 68.13134 64.59884 61.88603 63.41116 65.34899 65.85526 78.41759
#> [41] 78.88799 66.16468 68.26347 76.89746 67.10577 69.57699 58.72821 74.34782
#> [49] 75.56216 64.02991 63.24379 76.33979 61.17229 78.88255 53.16716 78.97280
#> [57] 73.92370 66.86888 85.88572 67.64952 69.38957 55.01428 73.91101 62.07725
#> [65] 71.04047 66.54654 75.07100 76.05032 68.55625 70.72557 65.75564 72.69126
#> [73] 64.99154 59.56634 69.65853 78.22079 71.77669 83.15654 72.02628 70.82754
#> [81] 62.56658 61.75052 56.53016 60.92166 51.75387 63.55042 66.81950 53.34712
#> [89] 51.29068 63.72470 52.54434 67.16936 66.15129 59.79600 54.09636 55.44003
#> [97] 60.17645 59.07972 58.42843 63.32531 66.08514 64.53970 67.37765 66.28835
#> [105] 68.51862 52.83483 50.83248 67.39837 61.18326 54.50836 59.04512 61.36552
#> [113] 51.33521 65.36465 63.99465 72.64815 50.32150 60.49232 71.40585 68.84139
#> [121] 75.71730 56.45044 64.86613 56.08331 64.94808 62.97025 66.14109 52.33138
#> [129] 48.74736 62.24860 65.88780 68.66853 59.10606 63.27537 51.24068 61.04863
#> [137] 64.42210 77.39117 64.47859 56.17124 72.41011 76.00780 65.85818 70.45901
#> [145] 57.37882 69.52874 62.52769 64.87662 70.71314 71.30766 52.12164 50.85336
#> [153] 59.21886 59.29295 66.85862 78.93837 58.23341 59.17825 67.01435 67.48553
#> [161] 61.65084 81.34124 54.62874 68.85254 66.95596 78.58479 67.82081 63.11844
#> [169] 70.04666 74.69236 70.25820 66.88231 70.00885 69.24372 60.14011 80.01138
#> [177] 66.42593 65.96124 63.96166 64.51521 61.06565 71.89424 59.18637 74.28316
#> [185] 60.59320 78.19234 69.35153 56.03083 74.37513 52.87869 65.99311 65.77125
#> [193] 66.17252 68.42120 78.37655 74.65301 64.47077 70.85410 71.29523 74.20783
#> [201] 67.18788 76.19865 71.01723 67.85378 70.04959 55.09378 74.55968 59.89610
#> [209] 84.93209 81.21270 80.92155 65.53205 66.45325 58.79981 72.04878 59.42472
#> [217] 61.84884 80.84007 65.88620 63.29912 41.71521 75.67518 65.75479 73.09926
#> [225] 62.85661 75.69404 69.93081 75.98387 61.50905 67.82521 71.04443 72.74765
#> [233] 66.50027 75.08149 67.79892 67.71323 61.96229 58.58632 51.61835 70.34973
#> [241] 59.46010 66.30840 71.69366 61.97172 67.47649 70.54980 55.12831 64.12462
#> [249] 52.28464 65.47261 70.71795 63.64204 52.15117 69.73611 59.65800 70.99488
#> [257] 67.09706 58.81381 66.45313 64.60085 72.38300 66.27270 71.93246 53.30431
#> [265] 77.33123 60.80977 66.51451 63.22666 55.42499 53.78659 65.57111 70.02323
#> [273] 70.69353 80.03759 73.77738 73.47120 69.23701 66.00408 82.98975 81.67119
#> [281] 73.57287 56.59341 69.24513 73.93734 75.53112 78.82172 69.73804 64.36098
#> [289] 72.40141 70.46431 65.54678 72.53117 71.88379 83.13909 67.47062 77.30696
#> [297] 64.02885 71.25856 68.03395 74.51794 64.79223 78.44834 66.99993 61.23941
#> [305] 58.39936 71.18083 73.19581 79.77819 63.42560 70.93342 35.61458 63.81213
#> [313] 64.10051 77.72538 63.76221 54.41196 65.47857 73.34776 66.39200 55.57839
#> [321] 58.05340 75.51752 59.72018 63.61341 69.74576 69.95867 67.10177 58.94623
#> [329] 66.43266 68.87485 73.87923 72.10581 67.59185 75.48668 63.32090 66.16959
#> [337] 50.59341 79.77002 56.92424 69.68013 63.35173 66.61949 60.58455 80.96897
#> [345] 61.16799 69.88329 70.82230 70.43724 60.28717 65.00506 66.13167 69.87031
#> [353] 69.37878 68.48007 65.87527 61.41213 59.86713 64.67004 68.50260 61.98782
#> [361] 75.51574 72.51867 62.06647 62.61092 62.97958 70.32110 65.03098 66.05913
#> [369] 53.32838 69.17050 71.63642 62.72621 70.25593 60.51759 75.37077 77.65714
#> [377] 73.11555 74.11629 57.02988 63.62967 75.05571 68.61303 55.54889 70.38588
#> [385] 66.80254 65.61969 62.97082 71.11663 60.06663 62.00799 51.10944 67.16433
#> [393] 59.99699 66.37222 61.03449 67.74474 42.43256 62.86727 67.87815 65.15703
#> [401] 64.69124 60.14205 70.76289 71.31783 66.04999 76.61464 61.43145 72.78653
#> [409] 54.03059 69.46106 56.91971 69.56644 55.87137 69.86336 58.53916 66.66018
#> [417] 66.33413 74.38556 60.13729 69.66614 71.43806 69.02452 55.28528 69.15698
#> [425] 71.63567 72.48823 64.22969 77.16369 72.90102 67.26458 54.69446 69.27773
#> [433] 65.41311 76.24584 71.83764 75.54565 67.85481 63.25067 73.46094 75.16682
#> [441] 62.98333 58.79171 52.11741 71.08679 73.85596 67.66812 73.73440 63.38096
#> [449] 76.84328 79.65164 71.51794 78.61900 58.60013 64.80404 70.07489 63.60754
#> [457] 58.91665 79.69562 68.15559 62.51581 61.98551 63.07782 65.29638 73.72208
#> [465] 61.19467 60.21919 53.74722 68.51160 56.16850 68.78510 63.16444 67.77988
#> [473] 58.92671 74.97656 77.69657 67.30765 75.08158 80.53837 74.10723 66.45484
#> [481] 57.48353 66.57581 70.39996 65.55219 57.26965 52.21869 58.91249 45.54019
#> [489] 57.41655 60.18910 58.52975 67.76587 71.15812 70.70709 69.80979 71.95724
#> [497] 75.43238 67.09059 69.18669 71.48158 68.75504 62.06799 59.92076 67.68607
#> [505] 78.21922 75.51318 61.37911 74.79990 62.33989 53.87600 58.94112 76.96616
#> [513] 59.52571 64.32725 69.25479 71.92885 75.36481 75.88838 65.80062 68.54524
#> [521] 62.97258 54.38879 69.91925 58.23021 73.03905 68.42812 67.66286 69.22312
#> [529] 69.65296 71.29325 73.08891 71.59956 74.47709 65.76829 62.26477 64.65796
#> [537] 62.67773 68.79269 65.84418 68.05187 61.74843 61.27705 57.34411 59.61587
#> [545] 60.53635 52.90875 62.12929 72.33147 70.26882 71.02997 68.71112 56.11464
#> [553] 70.56677 38.52364 72.93843 65.61113 64.46407 66.57124 76.26005 52.20660
#> [561] 73.27319 64.27061 60.67283 55.07134 55.49127 71.35063 78.82359 77.22263
#> [569] 66.17980 71.70728 74.06090 69.81907 67.32152 81.42208 71.65476 69.85885
#> [577] 78.84499 82.16502 68.98896 72.71921 54.95218 65.97283 77.07467 75.26105
#> [585] 74.62297 67.11012 75.33161 68.57115 78.26229 67.70382 85.81792 65.21558
#> [593] 71.32419 66.97506 71.14253 78.60247 76.66764 48.88056 67.37484 85.66088
#> [601] 72.27146 72.77313 74.97073 73.48185 64.67950 69.66402 66.81374 70.43028
#> [609] 51.68058 70.42044 72.99695 62.12130 57.75288 61.56137 76.76920 61.97017
#> [617] 70.65469 67.01976 63.42783 60.47968 49.51531 69.10364 61.40732 52.37558
#> [625] 73.43227 71.30779 80.19398 63.78461 57.91017 66.31988 57.48142 69.47668
#> [633] 60.69994 55.71544 63.87164 75.86843 72.95316 62.68265 78.06127 85.45514
#> [641] 70.27520 72.72603 68.51025 80.41635 79.55312 61.58983 56.47817 73.37244
#> [649] 70.10006 75.36613 64.05592 73.37899 75.74809 57.29942 80.53865 62.86777
#> [657] 66.67893 63.80228 78.48992 64.80207 76.56985 61.91264 63.70457 73.43680
#> [665] 73.35975 62.83480 65.01121 69.90628 65.56064 59.04892 67.34950 78.93473
#> [673] 78.51689 66.18815 67.31552 65.65757 74.90195 63.55127 66.28390 71.48952
#> [681] 57.92173 69.70672 63.09503 64.63014 78.78050 57.08827 63.14999 71.10859
#> [689] 69.18765 71.26577 56.07322 82.19909 54.45824 64.91881 72.91327 75.00629
#> [697] 77.95462 55.61942 65.06086 72.45608 54.56793 65.53969 71.64165 66.32409
#> [705] 74.66121 64.48590 68.21725 55.93426 72.84750 63.70522 78.44182 67.76786
#> [713] 69.58824 70.42054 68.52461 71.72604 62.06740 68.02283 62.76033 66.77779
#> [721] 60.00161 76.82996 69.60068 53.05683 74.72404 59.43990 74.05894 78.92484
#> [729] 48.52940 67.25441 77.00887 72.88321 73.35311 67.01320 67.80112 72.56617
#> [737] 81.61656 79.88985 55.54093 63.03669 72.88396 69.58614 54.68518 67.56439
#> [745] 66.84734 65.88537 65.55935 60.11326 51.09616 65.03283 75.81314 65.53195
#> [753] 59.78818 69.29647 57.87247 56.35484 50.97643 48.53997 69.93056 74.42990
#> [761] 57.85813 70.03960 65.46261 57.88663 62.33409 46.59763 67.62064 59.60326
#> [769] 48.98511 60.87352 62.79291 63.97275 67.17359 66.50402 61.56497 70.28506
#> [777] 74.59889 76.11778 59.62416 79.07605 64.42198 65.91435 67.14495 71.90998
#> [785] 75.29428 64.11168 57.76328 68.42398 65.07355 66.76029 68.26903 65.74129
#> [793] 56.83033 59.96937 70.94671 66.39252 68.80867 69.94140 77.31554 76.71795
#> [801] 74.65491 78.21857 72.02919 72.45564 71.69864 71.99286 76.94868 56.78373
#> [809] 65.82342 67.95441 65.00907 64.74038 67.67215 61.28473 56.89450 64.80662
#> [817] 70.81406 71.45312 63.81724 55.27206 66.02931 65.01018 71.04124 48.75553
#> [825] 65.59583 71.33656 69.65327 65.82918 68.31623 65.89491 63.84782 63.28156
#> [833] 59.94833 61.16657 68.19265 57.79804 59.35483 66.53208 77.34719 67.44593
#> [841] 65.72070 57.40964 57.29883 74.19403 62.99841 58.43579 68.06809 61.46238
#> [849] 69.63130 52.44750 85.11533 76.54904 66.05965 57.80091 61.04189 64.39102
#> [857] 75.32672 57.88442 67.98789 68.39240 78.20241 72.40508 72.19265 63.59134
#> [865] 58.84693 67.62355 63.70503 64.47698 73.06224 71.33592 65.80456 69.74984
#> [873] 82.76968 63.06054 69.85599 52.26463 60.45032 54.44972 65.40682 71.16914
#> [881] 81.17885 54.25757 70.55682 67.98606 77.40857 64.63097 63.51739 70.85681
#> [889] 65.78522 67.60884 63.12570 69.75457 62.45543 66.98581 69.05095 58.23438
#> [897] 46.18045 60.70059 64.79539 58.72612 69.51197 52.16480 63.26370 59.08606
#> [905] 46.90050 66.93022 68.31647 50.49371 70.66905 59.31045 66.83412 61.92048
#> [913] 64.25001 63.49063 59.87032 74.63025 65.54350 73.00010 64.91329 75.41242
#> [921] 64.34199 68.04726 57.52004 74.88849 56.04471 67.76335 68.13130 65.05418
#> [929] 58.58020 64.84651 59.54968 72.86382 70.23920 70.54041 54.43823 69.35368
#> [937] 64.47244 62.31720 56.90398 77.88206 62.53180 72.79951 55.55449 71.18223
#> [945] 65.08359 51.18502 58.53278 72.37944 48.50306 66.14274 72.96279 57.17346
#> [953] 52.72639 59.50493 66.29265 66.80235 63.90350 53.11678 62.92901 72.81709
#> [961] 66.04392 74.17286 67.98039 57.90235 52.93248 71.68662 68.71908 69.46511
#> [969] 69.45028 59.41911 60.03386 69.96304 62.40377 62.31599 51.96854 53.07388
#> [977] 65.27553 59.02121 70.51973 72.07332 78.89277 54.29657 69.83705 65.82066
#> [985] 67.72039 66.39673 45.50158 67.46334 61.80692 75.91466 62.48984 62.32190
#> [993] 65.69046 53.49732 70.16858 65.06915 60.49118 52.34425 68.88316 68.35782
#> [1001] 68.75883 59.26029 63.90086 53.68932 58.67731 57.84617 62.57811 69.17443
#> [1009] 57.79727 63.71951 64.24697 70.08822 66.68519 68.74291 64.48273 48.89423
#> [1017] 66.55547 63.72246 59.64462 59.84344 66.18487 67.98240 67.11677 54.37611
#> [1025] 59.55685 77.05132 65.40702 67.41227 61.57633 72.51044 61.86321 61.97288
#> [1033] 79.51214 58.08516 60.46818 57.86303 71.88176 67.14672 67.69712 73.18035
#> [1041] 65.96887 62.32940 76.00229 73.44172 68.42339 69.82674 65.83856 67.42970
#> [1049] 70.64547 59.89555 67.22343 73.90283 72.44424 70.02585 61.06586 64.07853
#> [1057] 52.97508 66.75503 69.60296 67.02127 70.10679 64.69659 70.64510 66.01174
#> [1065] 78.29748 78.64774 73.02563 70.99934 64.56007 77.29918 75.90986 52.52786
#> [1073] 76.03652 56.90378 72.70263 72.65043 72.89028 70.91432 69.01470 65.55916
#> [1081] 68.21313 64.24770 57.36868 65.25875 69.75877 70.19552 76.10356 79.28109
#> [1089] 57.41879 73.15150 76.62608 60.54977 60.13661 75.60739 68.16811 68.26921
#> [1097] 81.44661 52.87462 78.19018 62.63567 78.03593 80.03642 81.24315 76.27455
#> [1105] 67.07549 71.85230 79.10985 78.82221 70.82603 81.71192 72.73364 76.75037
#> [1113] 67.75335 69.76154 74.43674 76.88775 69.68635 67.31287 66.23408 65.25646
#> [1121] 60.19514 74.66622 73.13159 74.81000 84.93107 75.30998 79.57053 64.78292
#> [1129] 79.76186 83.88629 72.49675 79.45518 76.44045 83.11031 74.70588 74.98075
#> [1137] 75.36600 65.32986 70.88559 74.08345 77.20419 70.24954 75.59365 68.01551
#> [1145] 59.81010 50.56069 56.22617 73.81422 58.34728 69.26680 71.12071 64.81880
#> [1153] 75.47339 73.02588 62.03575 62.55323 62.73770 81.67958 79.64427 68.28054
#> [1161] 55.19864 77.11614 61.14857 73.99922 71.26220 55.41303 67.31708 60.48596
#> [1169] 68.40205 60.26078 69.42616 75.44863 75.76139 64.26312 54.49400 69.28243
#> [1177] 65.11113 66.48803 56.30239 70.25311 65.50526 78.92578 64.20648 63.05557
#> [1185] 49.96326 68.58788 75.26070 74.05044 69.88901 58.23109 70.02239 74.70604
#> [1193] 64.86460 66.17396 65.19081 60.66756 69.01879 64.83077 63.68970 65.57730
#> [1201] 62.45985 64.11987 65.43593 66.48320 68.68292 59.06521 70.09146 51.32183
#> [1209] 64.47384 61.30475 63.87151 52.70293 66.50421 61.42136 50.60891 69.51172
#> [1217] 53.83891 63.11329 56.19391 67.84153 69.29459 61.48891 63.22411 66.73030
#> [1225] 45.43128 71.51117 72.08819 66.09764 59.66467 64.48216 50.57484 60.51157
#> [1233] 61.16620 68.01458 69.20665 62.67301 62.09599 80.03353 65.13756 64.13657
#> [1241] 49.61685 64.59405 67.63814 76.19624 57.64743 68.58307 67.63806 61.98153
#> [1249] 67.86415 74.30978 49.87152 52.00312 53.99319 67.88943 72.89665 71.66973
#> [1257] 55.91103 63.26348 76.45670 66.54192 58.66577 72.40094 52.91534 53.83261
#> [1265] 66.73529 53.85816 58.82680 69.80282 64.91656 60.41421 66.62786 61.01366
#> [1273] 60.68444 67.82812 55.89683 67.26284 60.17862 60.12406 56.10180 59.16722
#> [1281] 77.82300 68.32048 66.13718 52.84898 67.63416 58.99384 62.36488 75.20200
#> [1289] 56.92236 56.69679 60.54320 55.81821 66.06387 70.62250 63.17061 66.03993
#> [1297] 50.34455 48.63399 62.21703 62.77463 73.32013 53.99828 48.54599 70.49042
#> [1305] 63.01065 57.51892 69.25683 57.77616 60.49382 67.75184 70.13060 53.45094
#> [1313] 53.01239 66.16638 59.09390 69.30633 63.06562 68.51076 65.39223 67.13898
#> [1321] 55.87367 55.37093 67.66763 56.26806 47.50621 71.30852 68.94807 57.49103
#> [1329] 58.84783 61.85427 71.86038 58.48262 63.18724 62.97376 64.06917 69.44585
#> [1337] 70.13242 73.20177 68.86351 62.78663 72.63047 67.63283 77.02591 61.44940
#> [1345] 79.78294 61.07570 66.19170 69.96189 69.34412 58.30869 61.16946 73.32243
#> [1353] 77.24668 57.94729 50.62801 68.73812 59.32451 72.34501 59.82287 68.09629
#> [1361] 75.93534 69.70163 77.34340 61.21456 71.44498 66.96940 49.08608 60.32036
#> [1369] 82.05040 56.96070 78.45173 65.70473 60.65037 81.16047 71.91467 57.44643
#> [1377] 67.00372 66.52091 62.22994 66.80979 56.56145 70.77451 61.95233 65.88624
#> [1385] 70.22966 66.29037 59.78803 70.02785 76.66551 69.80422 61.92885 64.26002
#> [1393] 57.94597 73.66213 54.82599 76.15208 75.04288 54.95341 63.39117 71.44816
#> [1401] 67.82050 56.94982 54.98191 59.77769 51.82348 71.36481 68.11778 63.94636
#> [1409] 63.83405 68.56465 77.74356 69.17959 72.43095 66.05961 75.92017 69.43595
#> [1417] 70.37402 68.27752 73.45696 66.33893 71.63540 75.20550 69.99483 74.50000
#> [1425] 69.26587 77.20801 62.50094 70.24229 76.97513 74.31311 53.33338 63.96769
#> [1433] 66.03546 72.20384 74.24522 78.98877 75.69047 68.85199 66.25090 75.65213
#> [1441] 74.40241 71.87642 65.70656 56.31706 79.39644 69.55315 68.70248 74.30743
#> [1449] 82.96516 54.14006 57.69186 72.05767 59.09641 67.70846 68.59892 69.72275
#> [1457] 57.82628 68.51642 61.92245 67.55171 63.16651 61.64826 69.11430 73.99687
#> [1465] 59.93154 61.81116 62.47868 44.04216 69.79209 55.58831 55.40364 58.76108
#> [1473] 75.31205 62.61868 50.19086 67.58975 72.91991 68.99644 63.97845 58.48912
#> [1481] 64.42642 64.94894 53.25770 59.45443 59.63352 73.53733 66.07567 64.02516
#> [1489] 67.03122 61.13251 55.57723 61.41674 57.47588 78.73692 70.29661 63.21752
#> [1497] 64.57504 67.79667 72.78628 59.40595 46.85298 59.04263 64.99517 63.81205
#> [1505] 59.36842 57.38746 65.78807 52.92004 68.18103 60.81937 73.89082 66.62382
#> [1513] 74.79704 58.74153 74.64077 58.55671 81.27873 65.45765 70.94584 65.93190
#> [1521] 77.44478 69.11551 64.74423 46.50463 52.33035 68.08695 64.16296 67.44271
#> [1529] 60.33677 74.31299 63.83845 70.27962 75.75306 76.09795 75.67321 55.65566
#> [1537] 61.44370 62.92094 76.00342 69.76191 72.63309 64.71076 70.14256 56.79796
#> [1545] 71.64039 57.90107 63.98766 69.30369 66.48912 69.72648 70.28260 62.58120
#> [1553] 50.60627 72.93839 70.22670 77.80475 63.04831 53.62513 58.94881 75.16963
#> [1561] 59.28279 62.04507 59.45153 69.18968 67.17896 59.83986 70.25538 76.48982
#> [1569] 69.72723 72.85083 78.58930 67.77780 72.20241 63.67896 58.98834 66.89400
#> [1577] 64.36086 60.76094 60.65541 67.81317 71.94779 75.98312 67.51623 65.90138
#> [1585] 62.04938 66.04887 65.88731 61.48145 67.89799 68.59804 68.67128 65.44535
#> [1593] 70.74245 58.84649 69.39110 57.80996 75.41812 63.77485 58.48978 63.88376
#> [1601] 63.10447 65.10643 60.91111 70.91052 72.32079 68.69056 73.21422 65.84456
#> [1609] 60.97686 72.97808 74.48075 64.97796 73.49346 57.59972 68.44911 72.87723
#> [1617] 64.49858 61.17881 63.79774 67.19823 60.27676 63.62944 54.19141 46.49322
#> [1625] 78.19805 69.55690 73.43214 72.89131 60.58791 78.78451 63.52026 66.19459
#> [1633] 63.12353 74.82750 64.28570 73.84207 60.31340 71.99676 80.60880 69.56578
#> [1641] 64.22090 67.51321 64.63506 73.21212 61.36066 66.25478 64.05281 70.85382
#> [1649] 51.93311 82.16168 54.41122 73.92950 70.80553 75.13964 62.60992 74.33785
#> [1657] 71.17348 65.56965 78.78854 68.38181 69.51973 58.22437 66.55337 71.09291
#> [1665] 79.41115 70.87755 69.51494 64.17214 52.47287 58.67860 81.10971 70.72280
#> [1673] 66.99810 72.06445 68.61719 75.75216 65.04509 62.63518 75.45712 71.91836
#> [1681] 81.15998 63.78697 68.99606 73.84193 59.72964 71.58513 64.61056 69.15178
#> [1689] 62.87515 71.62487 68.04589 56.43615 62.26040 66.60788 66.66938 67.38994
#> [1697] 68.62589 77.25071 74.56369 64.29372 61.33598 72.27406 61.77874 74.54476
#> [1705] 53.11191 76.90924 76.45993 69.48493 70.30167 64.55670 61.25411 61.60956
#> [1713] 63.36035 54.12066 66.56083 71.11213 59.82088 69.05342 74.08102 64.39356
#> [1721] 74.98374 65.78965 56.77397 52.61764 73.88055 68.12201 62.90194 69.04227
#> [1729] 72.25015 65.03407 63.33558 63.33908 48.32077 73.69929 66.55004 67.54260
#> [1737] 62.32992 57.52657 69.94243 67.40941 63.32289 77.25985 71.24405 64.30801
#> [1745] 72.98689 73.75277 72.95235 71.82542 70.44603 63.55723 68.19296 70.63708
#> [1753] 78.15235 64.00061 61.81405 76.75773 75.23289 69.69025 67.84831 74.63841
#> [1761] 69.68104 55.20324 75.76412 59.12033 65.08871 79.49998 69.68151 54.38844
#> [1769] 64.79733 76.62307 82.61978 75.01099 61.63897 62.19578 75.87606 66.12127
#> [1777] 67.45138 69.40136 73.29625 71.39342 63.28531 57.92599 62.34081 62.70035
#> [1785] 65.58746 71.34998 62.14334 63.90727 74.54776 48.39645 69.88974 68.98539
#> [1793] 58.11840 69.83931 62.37388 58.27003 68.26704 76.06743 77.57161 71.71611
#> [1801] 81.31206 71.97012 77.93663 73.76798 77.83439 65.44751 71.09161 66.63835
#> [1809] 75.46274 60.58633 65.24267 79.69270 62.84592 70.43098 68.33669 69.28890
#> [1817] 80.93427 65.89361 72.72520 72.20099 70.41527 64.39020 70.73222 71.70466
#> [1825] 73.06110 70.96491 74.04586 52.34478 71.36280 78.59261 64.68117 62.54504
#> [1833] 68.09546 56.70750 71.09609 60.44642 68.63621 54.87068 55.76570 54.46680
#> [1841] 54.03926 63.60562 62.76872 66.42025 60.61016 62.72885 61.54026 62.96568
#> [1849] 78.14901 68.69049 66.90259 57.35675 64.05273 63.95093 53.92851 60.94584
#> [1857] 62.22499 64.17939 52.92918 75.76462 49.03311 68.76247 62.99256 67.16559
#> [1865] 67.82784 68.51924 57.17883 56.80349 76.03283 63.39357 66.21658 55.60024
#> [1873] 70.49943 66.73424 55.07435 65.73680 56.73065 59.50712 58.34745 51.23335
#> [1881] 69.35375 69.57826 66.35354 74.96953 65.91831 72.36914 62.49793 65.56401
#> [1889] 69.42155 69.38080 56.75737 71.37706 65.17902 61.80927 56.27465 57.31317
#> [1897] 73.98535 79.59468 72.24696 73.08353 83.51515 73.49976 70.33840 62.16072
#> [1905] 82.96639 79.70697 62.76324 76.79094 78.53140 81.53241 76.31718 62.29538
#> [1913] 71.20447 68.97164 75.39363 81.22783 61.17768 62.26472 70.73309 80.53883
#> [1921] 64.23934 78.61976 75.65441 72.17331 66.71003 66.90657 75.21199 79.45971
#> [1929] 60.12143 72.99310 82.77142 72.01450 70.38219 77.22404 74.38111 67.00177
#> [1937] 68.42015 70.22645 58.40192 51.61919 77.51294 63.79973 75.29209 75.48515
#> [1945] 62.45745 61.47304 65.69176 69.28700 69.29821 73.74753 70.69494 77.27996
#> [1953] 81.11258 66.99639 69.00624 68.05103 69.12896 72.24551 72.89137 71.49935
#> [1961] 57.63380 76.77422 79.68040 54.51251 70.04398 62.23759 74.49330 71.79563
#> [1969] 67.55599 63.45148 66.50335 75.20557 74.87434 70.76928 71.41548 68.68143
#> [1977] 71.30836 62.89393 67.52920 59.40845 69.68025 76.20804 75.23247 60.37355
#> [1985] 75.02993 55.85157 52.75426 69.28378 60.86923 58.77217 81.55489 59.63385
#> [1993] 65.44700 74.68158 81.22527 64.78212 69.50775 76.40238 76.81047 76.16455
#> [2001] 72.68902 73.07146 75.10412 77.89829 65.41464 70.13735 64.26310 72.50675
#> [2009] 67.82652 67.40980 72.32062 66.68897 74.27159 67.30346 69.77161 75.24152
#> [2017] 74.96740 79.36302 73.40706 79.77159 70.59145 63.95793 77.71930 72.83716
#> [2025] 59.39551 66.76066 68.78230 75.81880 59.69566 62.80794 79.60554 72.06963
#> [2033] 70.20921 57.29193 43.49519 49.76887 63.02700 65.20858 75.67508 74.54859
#> [2041] 61.42370 63.25998 73.27992 68.48455 74.65089 67.39995 64.71261 76.58533
#> [2049] 64.73375 68.05501 62.43199 72.75897 73.10652 75.91189 60.10040 77.06246
#> [2057] 65.41858 58.93510 73.60256 62.20912 67.98121 66.01984 69.95426 71.83214
#> [2065] 71.73473 76.89510 72.34744 80.68456 58.57194 65.75104 70.40857 77.68601
#> [2073] 62.86766 58.92715 68.09862 58.14655 63.45469 79.20736 70.80004 64.74446
#> [2081] 58.65914 66.38157 69.07872 61.79499 61.71871 70.23485 80.56772 69.49276
#> [2089] 63.34894 70.94628 62.74378 73.46099 61.86207 65.88776 70.14759 64.36034
#> [2097] 66.39565 59.51744 61.62055 63.77623 68.84049 72.04128 54.07427 64.53703
#> [2105] 70.46968 76.20941 58.92797 62.57499 71.88731 67.54859 70.22658 57.85975
#> [2113] 72.39584 65.39423 69.08636 73.41677 64.80960 58.80507 70.33410 56.26930
#> [2121] 63.16449 64.62670 64.76602 64.14808 64.65433 62.23888 64.27871 61.77569
#> [2129] 66.38078 72.28880 63.63328 64.47778 62.81727 65.32186 73.20619 72.44588
#> [2137] 65.59592 61.95866 74.23779 61.59037 68.37982 69.34606 56.61130 71.02695
#> [2145] 62.38180 55.11933 70.52911 67.81103 58.23412 70.04086 60.09632 55.00089
#> [2153] 59.70990 66.47201 66.86081 73.46712 73.51448 76.76949 70.06270 55.04991
#> [2161] 74.93299 47.15926 68.70584 63.03060 63.27606 62.39529 64.55346 61.36254
#> [2169] 72.01291 61.19586 61.63947 65.17074 58.26051 65.12540 63.64227 53.91851
#> [2177] 62.66218 68.28192 61.38059 64.23177 63.96093 72.95603 68.95785 59.34830
#> [2185] 60.07690 57.01226 70.69608 70.24930 65.21076 64.94067 56.00598 60.47031
#> [2193] 58.15296 58.44175 66.58918 51.65255 67.14304 63.85546 71.15814 65.34057
#> [2201] 67.13252 53.17623 66.38980 61.52976 58.07112 62.62285 71.76775 57.94445
#> [2209] 57.48604 62.01597 51.78760 63.72299 68.39038 60.23517 52.10433 74.02519
#> [2217] 70.34474 83.29860 66.50501 76.32118 66.43791 66.43204 72.38227 65.95420
#> [2225] 68.43278 68.69304 64.36900 75.91286 67.86027 75.37620 67.16149 69.92223
#> [2233] 67.49695 78.32107 68.06816 57.52302 68.88517 55.98007 75.07351 62.87570
#> [2241] 79.97564 66.98432 75.14233 62.00623 80.03973 77.85046 60.44134 58.93674
#> [2249] 71.01378 72.29192 69.38435 67.02816 75.26326 63.95263 59.61430 81.25421
#> [2257] 74.52295 74.38387 62.69086 73.60787 69.22425 67.39166 65.20082 77.37042
#> [2265] 70.75712 73.65863 68.35521 71.13272 69.38409 53.91361 66.40999 81.55691
#> [2273] 67.50216 72.08508 68.34378 65.72151 67.50121 68.14843 70.49159 50.54630
#> [2281] 75.02568 61.91177 72.28905 65.74235 64.23312 64.03043 68.95180 70.34821
#> [2289] 62.06767 65.96042 72.30649 60.93074 55.85328 66.46295 79.17607 73.44008
#> [2297] 68.56702 71.88762 78.12402 65.78988 59.67033 73.20210 64.69983 72.62758
#> [2305] 75.70973 68.32689 71.41054 56.12551 77.56282 81.37197 84.27759 62.68409
#> [2313] 71.50968 74.02574 76.68412 68.79360 72.11695 72.49842 67.90505 78.25467
#> [2321] 59.93453 57.64308 70.21788 75.11377 64.60644 65.53739 72.60017 75.12638
#> [2329] 61.46847 64.14313 74.23531 59.98676 80.13335 61.10746 70.83589 74.03327
#> [2337] 77.77807 74.59974 63.84340 63.23863 54.37124 74.18355 68.61341 69.48186
#> [2345] 59.63906 55.36931 58.00612 69.61013 69.72257 75.05864 65.81782 53.39586
#> [2353] 67.55388 63.81161 72.99727 69.68934 70.82843 60.18123 76.96494 66.14161
#> [2361] 67.66179 54.61826 57.01661 79.27791 56.01530 62.12808 60.23498 60.29706
#> [2369] 48.21256 54.30587 68.82082 72.88676 59.24371 52.97642 50.35966 77.11568
#> [2377] 70.39785 69.01504 78.29509 69.18957 61.95657 54.51120 67.74791 55.23209
#> [2385] 75.70315 54.28518 66.08253 66.81545 66.33215 76.74386 60.95870 56.28310
#> [2393] 61.79693 69.03078 57.97377 53.43356 62.20035 77.08710 59.35329 66.60542
#> [2401] 58.43200 69.53534 61.91685 61.74240 57.91764 71.71267 68.33042 46.85974
#> [2409] 51.98423 69.22220 70.11372 61.41232 46.25806 62.01683 66.65416 65.56203
#> [2417] 62.16699 63.40466 58.78277 55.44129 69.89687 66.74759 75.63258 52.60742
#> [2425] 63.57331 83.10838 45.87473 71.71904 60.20015 63.06123 72.46051 73.51016
#> [2433] 56.04163 66.96470 69.16211 70.92481 58.82200 58.55492 60.53252 63.91936
#> [2441] 58.60773 61.51550 73.67854 70.76416 66.01074 66.26006 69.43072 61.42818
#> [2449] 56.90322 69.41458 50.83693 56.87017 73.25342 60.07064 57.35681 64.59676
#> [2457] 69.37250 56.03080 63.67397 66.51872 51.17790 54.33809 77.40450 50.48065
#> [2465] 57.11407 44.03267 50.84888 57.22345 70.33777 53.33768 77.17603 53.44955
#> [2473] 63.63267 59.08157 49.96710 58.58934 57.55584 48.90879 45.05781 55.78359
#> [2481] 58.31533 59.84818 47.50270 58.93704 67.54125 64.60981 59.27998 52.90233
#> [2489] 44.95366 55.31236 60.89602 50.56066 48.70977 61.46228 64.84629 66.45588
#> [2497] 67.48017 62.62459 72.25361 63.70033 71.67412 67.28763 65.66681 64.15358
#> [2505] 66.04697 65.18986 71.19204 64.10721 73.47269 62.83333 63.55439 55.30336
#> [2513] 51.91957 56.49932 51.43262 54.45227 63.78637 71.73774 57.74803 62.92337
#> [2521] 67.76892 61.83142 57.54008 69.63385 64.88747 62.29960 56.51070 49.80817
#> [2529] 66.90379 70.12746 63.84250 41.21129 68.66043 64.86593 56.90499 74.82146
#> [2537] 59.52981 59.49657 56.38318 66.91762 60.94690 71.26532 53.51518 76.85694
#> [2545] 41.48594 70.05485 63.48365 66.75997 70.49198 62.48583 59.16278 69.36280
#> [2553] 68.33677 56.72753 61.58435 67.15907 79.24897 70.65172 54.66281 55.10892
#> [2561] 63.01484 53.71600 56.07486 76.39513 61.94261 67.72437 65.69092 79.08854
#> [2569] 66.50244 58.04708 62.18607 67.39131 70.52537 61.49779 64.16854 79.26528
#> [2577] 62.92257 75.92009 65.06626 63.04584 57.64489 67.31467 78.32600 55.54647
#> [2585] 60.35927 63.76452 51.78957 58.81033 63.91361 81.30946 59.58031 71.00696
#> [2593] 58.36454 55.59689 71.94293 70.83071 67.15534 78.71546 55.43118 57.10185
#> [2601] 66.36831 45.59344 67.03985 45.55109 53.30729 60.45861 69.00207 56.43004
#> [2609] 70.94099 49.46635 70.45098 52.72092 61.09130 57.75854 48.69929 67.75919
#> [2617] 52.45220 61.71148 58.77585 68.10719 52.54861 57.88075 55.46379 63.00223
#> [2625] 67.48616 54.14376 44.26581 58.90780 65.67980 59.35458 68.36433 65.18127
#> [2633] 78.78284 64.12304 70.26539 53.35781 54.80617 66.06799 77.31645 54.09276
#> [2641] 82.93353 58.77503 70.30069 75.03193 61.29121 63.37084 47.62187 58.71624
#> [2649] 56.36010 63.82758 70.41419 79.50846 64.61627 73.02629 78.77540 54.80354
#> [2657] 75.42955 49.98312 54.04413 69.52862 74.14500 60.21910 63.56278 66.77960
#> [2665] 65.50342 76.18436 73.65520 70.41133 64.46857 67.52938 67.16394 67.38271
#> [2673] 62.70956 62.93082 64.40969 82.95334 66.36059 65.17345 76.10046 76.48208
#> [2681] 53.66914 63.23285 74.69034 71.17270 58.51751 56.69024 76.40987 67.08499
#> [2689] 73.23370 72.29248 82.53396 75.16449 56.43887 67.82560 72.55816 57.93786
#> [2697] 60.20997 58.66988 55.06538 69.05391 52.40021 72.87477 46.79999 66.07801
#> [2705] 49.69114 64.53699 59.78130 55.89174 60.47691 63.87417 62.68033 56.83767
#> [2713] 63.49704 55.65162 59.40101 66.23902 55.55960 60.65187 59.98710 53.69023
#> [2721] 65.41434 53.34603 45.11882 64.67804 67.41260 58.22607 73.57415 72.24395
#> [2729] 65.61497 65.39962 71.17049 50.03870 68.34279 71.18594 68.04381 70.00083
#> [2737] 61.16431 65.03491 71.45525 69.26625 68.50094 46.42191 66.83768 70.91591
#> [2745] 73.93770 68.92467 64.36655 58.53141 49.87682 67.10150 69.46465 69.63887
#> [2753] 70.29225 72.81655 53.75580 58.41566 77.64855 62.62582 78.12172 53.65557
#> [2761] 55.42515 57.03041 61.94738 59.49131 48.56513 63.62863 56.53732 57.19259
#> [2769] 50.20218 58.10652 53.04231 66.72211 62.77521 67.40109 73.33592 49.40029
#> [2777] 45.11831 55.36121 63.82980 59.57654 62.95483 54.70030 64.60796 60.09073
#> [2785] 54.42682 80.49152 58.06288 60.72222 54.37377 70.72632 55.87990 61.17739
#> [2793] 62.69685 53.72569 65.52139 61.85314 71.43521 63.89669 65.60597 69.06725
#> [2801] 63.38995 62.49647 61.13450 44.76885 55.78990 61.09999 47.72158 53.58698
#> [2809] 47.71691 85.02102 49.93828 79.39040 63.24136 68.92649 54.70931 70.93518
#> [2817] 68.86910 59.73372 72.15830 64.01158 57.82143 48.77796 73.01595 51.12425
#> [2825] 64.46412 75.27351 73.87093 59.72496 58.41861 64.07410 67.34952 58.61936
#> [2833] 51.99954 73.00941 63.52046 65.99935 59.48153 65.72514 63.27928 69.14393
#> [2841] 61.54298 68.75369 79.99358 66.68868 65.31269 76.94798 77.54829 62.01470
#> [2849] 73.08642 62.31288 65.31253 66.22176 67.85304 68.04797 64.17868 66.12520
#> [2857] 71.65999 63.04818 64.95301 58.26772 67.82170 67.58679 60.85239 64.34145
#> [2865] 62.87203 64.10349 58.76085 59.55497 60.90454 64.08831 70.72558 60.81938
#> [2873] 64.71637 62.05760 68.56572 53.99214 63.22283 45.41546 57.36524 64.56101
#> [2881] 59.21016 47.91945 67.52663 52.04486 73.28849 79.20013 67.77450 74.19183
#> [2889] 72.58993 78.02594 75.11817 80.05128 69.44026 79.40008 63.47303 72.92883
#> [2897] 66.50633 58.02039 67.99126 67.28098 63.01392 78.51462 66.99919 71.28631
#> [2905] 79.04147 73.57393 65.49353 68.47587 56.94678 69.57164 61.22366 53.89104
#> [2913] 66.54698 67.28953 59.66712 62.25638 59.48581 51.52451 57.64725 67.34067
#> [2921] 69.28403 56.80242 61.90122 44.15213 61.49849 53.73900 56.27339 59.35174
#> [2929] 71.63131 71.64307 65.51721 69.81443 67.11634 63.66994 75.76233 76.59620
#> [2937] 64.94160 65.88424 73.50288 68.64723 64.00095 66.08045 80.36642 67.24988
#> [2945] 67.76186 66.95576 65.80746 51.78168 61.67659 56.24017 71.11035 59.48226
#> [2953] 66.08245 74.49225 62.63648 49.69833 54.39281 60.20928 58.73455 64.51942
#> [2961] 58.72429 74.23987 58.41380 60.99790 57.61220 59.46854 46.49886 53.26991
#> [2969] 61.18471 55.56242 70.87696 70.68270 65.19801 45.39600 70.15956 65.27349
#> [2977] 70.59171 58.06229 53.54557 69.48845 64.37466 70.06685 52.87158 62.49628
#> [2985] 71.96854 75.42370 63.63384 66.59582 67.88795 48.12055 63.93759 52.34409
#> [2993] 55.00041 61.39600 63.87587 52.53217 56.51118 66.62111 47.44986 61.88182
#> [3001] 63.75729 49.59086 71.09402 61.97978 56.23835 63.88971 65.51910 67.09181
#> [3009] 56.14554 55.39304 55.37490 70.29480 59.78117 64.31084 60.80230 51.84036
#> [3017] 60.99718 63.29622 48.65397 66.72729 64.94566 57.04472 68.87164 74.23781
#> [3025] 66.00957 72.23805 79.94943 71.38677 62.19739 75.53462 80.04055 68.08191
#> [3033] 77.80032 51.85485 62.84284 75.09861 68.66075 46.75829 59.90336 71.49868
#> [3041] 55.34689 51.25013 72.04022 53.90285 54.53379 63.80505 63.15688 55.73259
#> [3049] 59.31664 44.43295 68.70858 74.28221 57.36103 63.28302 66.06055 54.19183
#> [3057] 64.71216 57.30877 54.96713 62.63063 69.75912 60.03488 61.12449 62.19368
#> [3065] 69.85830 67.27765 58.03732 63.07065 62.61073 72.29845 55.61044 60.50271
#> [3073] 59.96003 67.28329 57.45473 71.29418 58.07145 65.07741 71.70339 61.07779
#> [3081] 66.11459 63.73366 60.76900 68.15256 65.28391 69.02613 63.80279 56.53438
#> [3089] 57.25272 68.81689 56.88047 64.53949 64.72126 59.75765 53.39964 76.87093
#> [3097] 64.11229 60.38257 52.53512 58.49969 70.78570 63.74376 55.58504 64.02788
#> [3105] 66.25328 62.35198 64.60562 54.78084 64.11863 60.23134 70.58292 64.44599
#> [3113] 57.59044 74.30725 66.18319 73.17466 59.34893 73.91321 60.91259 66.33693
#> [3121] 67.29676 66.45831 61.09403 72.15173 71.82681 64.49386 65.84375 67.65726
#> [3129] 71.83885 64.68748 70.40630 60.64574 70.94137 52.83852 71.23458 58.19516
#> [3137] 59.35349 59.07518 76.66798 53.77417 72.50915 65.71900 56.76834 66.20497
#> [3145] 55.90317 62.21674 59.69394 55.36075 59.38187 66.59169 57.79222 72.11935
#> [3153] 72.05140 47.98191 47.48693 69.30682 63.32189 56.24086 61.48353 69.14041
#>
#> $mod2_unimodal$sim_properties$cell$knn_hubness
#> [1] 3 6 1 5 2 4 3 3 6 2 6 3 6 4 6 2 3 7 7 3 0 5 5 1 3
#> [26] 3 2 3 5 2 1 3 2 4 3 13 2 2 1 6 5 1 7 0 3 1 8 4 2 5
#> [51] 2 10 6 3 0 5 4 7 1 5 4 4 5 4 7 4 4 2 6 3 2 3 0 13 15
#> [76] 1 2 9 0 5
#>
#> $mod2_unimodal$sim_properties$cell$prop_outliers_cell
#> [1] 0
#>
#>
#> $mod2_unimodal$sim_properties$feature
#> $mod2_unimodal$sim_properties$feature$mean_expression
#> [1] 7.245535 6.496444 6.717848 6.496115 8.433243 8.219058 7.114996 8.292924
#> [9] 4.770509 8.874909 9.971471 9.598940 8.472762 8.825235 9.041396 5.702270
#> [17] 5.765428 2.281719 4.198294 3.656970 3.421854 5.969568 4.208808 7.496429
#> [25] 5.360683 4.988063 5.717505 5.326120 6.898756 2.677620 4.599758 5.159791
#> [33] 4.056602 5.728347 5.511596 5.153342 4.981096 3.627114 3.432081 6.332641
#> [41] 3.260879 7.397964 6.716760 5.718525 6.911373 4.202881 5.235367 7.299856
#> [49] 4.005219 6.324000 4.000922 3.401606 4.418638 5.712183 8.803378 5.610346
#> [57] 7.703028 5.885380 5.149962 4.962262
#>
#> $mod2_unimodal$sim_properties$feature$variance
#> [1] 58.82741 57.89715 58.85877 57.90992 59.00564 58.94930 59.67992 60.04404
#> [9] 50.75423 59.13402 54.35052 56.12812 59.60188 58.39742 58.25389 54.92346
#> [17] 56.16515 29.89477 47.09766 43.54986 40.85538 57.11923 47.31676 59.97097
#> [25] 54.09350 52.37747 55.21922 53.38227 59.00320 34.26929 50.03165 52.97346
#> [33] 46.88580 55.42747 54.14387 52.86496 52.24370 42.80153 41.12922 57.92213
#> [41] 39.92932 61.40501 58.81032 55.23191 59.22574 47.20009 54.56083 59.75434
#> [49] 45.66627 57.76007 45.57650 40.38537 49.05212 55.14814 58.15088 56.17368
#> [57] 60.24833 55.48138 52.76847 51.84024
#>
#> $mod2_unimodal$sim_properties$feature$sd
#> [1] 7.669903 7.609018 7.671947 7.609857 7.681513 7.677845 7.725278 7.748809
#> [9] 7.124200 7.689865 7.372280 7.491870 7.720226 7.641821 7.632424 7.411037
#> [17] 7.494341 5.467611 6.862773 6.599232 6.391821 7.557726 6.878718 7.744092
#> [25] 7.354828 7.237228 7.430964 7.306317 7.681354 5.853998 7.073305 7.278287
#> [33] 6.847321 7.444963 7.358252 7.270830 7.227980 6.542288 6.413206 7.610659
#> [41] 6.318965 7.836135 7.668789 7.431817 7.695826 6.870232 7.386530 7.730093
#> [49] 6.757682 7.600005 6.751037 6.354949 7.003722 7.426179 7.625672 7.494910
#> [57] 7.761980 7.448583 7.264191 7.200017
#>
#> $mod2_unimodal$sim_properties$feature$cv
#> [1] 114.43339 126.38105 126.00588 126.38105 101.73542 102.25243 120.36045
#> [8] 105.02591 160.86965 98.41598 84.98863 88.74813 102.66407 97.07512
#> [15] 94.81522 135.47852 137.42713 239.54951 173.36579 191.67745 192.35357
#> [22] 135.31635 163.39325 113.33521 140.48273 153.58566 133.01331 137.13683
#> [29] 121.13303 230.57441 164.53908 149.25978 182.24578 133.01331 139.20685
#> [36] 150.83290 151.45893 180.30990 192.35357 129.62574 199.70286 117.59966
#> [43] 122.09388 129.91396 121.13303 171.03968 153.62661 114.43339 176.69758
#> [50] 126.99417 173.33489 186.76309 167.99585 135.47852 95.12104 145.35577
#> [57] 110.65487 129.50734 147.18008 153.58566
#>
#> $mod2_unimodal$sim_properties$feature$zero_fraction_feature
#> [1] 0.5250 0.5750 0.5625 0.5750 0.4500 0.4625 0.5375 0.4625 0.6875 0.4250
#> [11] 0.3500 0.3750 0.4500 0.4250 0.4125 0.6250 0.6250 0.8500 0.7250 0.7625
#> [21] 0.7750 0.6125 0.7250 0.5125 0.6500 0.6750 0.6250 0.6500 0.5500 0.8250
#> [31] 0.7000 0.6625 0.7375 0.6250 0.6375 0.6625 0.6750 0.7625 0.7750 0.5875
#> [41] 0.7875 0.5250 0.5625 0.6250 0.5500 0.7250 0.6625 0.5250 0.7375 0.5875
#> [51] 0.7375 0.7750 0.7125 0.6250 0.4250 0.6375 0.5000 0.6125 0.6625 0.6750
#>
#> $mod2_unimodal$sim_properties$feature$detection_freq_feature
#> [1] 0.4750 0.4250 0.4375 0.4250 0.5500 0.5375 0.4625 0.5375 0.3125 0.5750
#> [11] 0.6500 0.6250 0.5500 0.5750 0.5875 0.3750 0.3750 0.1500 0.2750 0.2375
#> [21] 0.2250 0.3875 0.2750 0.4875 0.3500 0.3250 0.3750 0.3500 0.4500 0.1750
#> [31] 0.3000 0.3375 0.2625 0.3750 0.3625 0.3375 0.3250 0.2375 0.2250 0.4125
#> [41] 0.2125 0.4750 0.4375 0.3750 0.4500 0.2750 0.3375 0.4750 0.2625 0.4125
#> [51] 0.2625 0.2250 0.2875 0.3750 0.5750 0.3625 0.5000 0.3875 0.3375 0.3250
#>
#> $mod2_unimodal$sim_properties$feature$dispersion
#> [1] 0.7038563 0.7786433 0.8931083 0.7786433 0.6856938 0.6404030 0.8691983
#> [8] 0.7583429 0.9704641 0.7385350 0.5688166 0.5907173 0.7377939 0.6478711
#> [15] 0.6292948 0.7341772 0.7790564 0.8607595 0.9392405 1.0103567 0.8787475
#> [22] 0.8010850 0.7341772 0.7385801 0.7154081 0.8550851 0.6855860 0.6582278
#> [29] 0.7703436 1.0632911 0.9475588 0.8354430 1.1209564 0.6855860 0.7509187
#> [36] 0.8815843 0.8028933 0.7721519 0.8787475 0.7981346 0.8973277 0.8470679
#> [43] 0.7267121 0.6329114 0.7703436 0.8776371 1.0325497 0.7038563 0.8976335
#> [50] 0.7257384 0.8262371 0.7848101 0.9172347 0.7341772 0.5881207 0.9507736
#> [57] 0.7193644 0.6708861 0.7852466 0.8550851
#>
#> $mod2_unimodal$sim_properties$feature$bcv
#> [1] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [8] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [15] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.1940640 0.0000000
#> [22] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [29] 0.0000000 0.5625440 0.0000000 0.0000000 0.5986563 0.0000000 0.0000000
#> [36] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [43] 0.0000000 0.0000000 0.0000000 0.0000000 0.2727625 0.0000000 0.0000000
#> [50] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [57] 0.0000000 0.0000000 0.0000000 0.0000000
#>
#> $mod2_unimodal$sim_properties$feature$gene_cor
#> [1] 0.1066086395 -0.1530431888 0.0841300293 0.0165056454 -0.1811891344
#> [6] -0.1802474663 0.1957330839 -0.0529817315 0.0652400540 -0.0380792292
#> [11] 0.0416854068 0.2734364713 0.2335993741 -0.1560477387 0.0731906792
#> [16] -0.1041891705 0.2053125713 0.0581601569 -0.0571543197 0.0247186807
#> [21] 0.2073258829 -0.1400592313 0.0283994003 0.0321888077 0.0205302185
#> [26] -0.1885816763 -0.0820356345 -0.1837990484 -0.0256230516 0.1540443615
#> [31] 0.0543533019 -0.5172549606 0.1993830605 -0.1043071565 -0.0384589010
#> [36] 0.1396129016 0.0491911577 -0.0188048213 0.1584987428 0.1454448215
#> [41] 0.0336457290 0.0813174261 0.0786243968 -0.1328611191 0.0960653547
#> [46] 0.0539325981 -0.0247219910 -0.2053316504 -0.0170836770 0.0439784435
#> [51] -0.0880894936 0.0242339809 -0.0762865041 -0.1013541924 0.0244801056
#> [56] 0.0517668766 -0.0334780008 0.0168599915 0.0742817063 -0.0225389612
#> [61] -0.0450188582 0.1480579637 0.0989133530 0.0811855409 0.0323524071
#> [66] -0.0879521833 -0.0864330308 0.0894811139 0.2307064710 0.0336066494
#> [71] -0.2565551596 0.0761804498 0.0528244953 0.1078997689 -0.2302407111
#> [76] -0.0836460038 -0.1123430222 -0.0003531856 -0.0502809797 0.0769406871
#> [81] -0.0507026081 -0.0727240965 0.0663194327 -0.2228332896 0.0500481525
#> [86] 0.0175559194 0.3838064601 -0.0246247707 -0.0898397445 0.0987915667
#> [91] -0.1091261386 -0.0386180710 -0.0674171500 -0.1151963890 -0.0444712731
#> [96] -0.1838662160 -0.1203782532 -0.0507014651 0.0039657627 0.0815569117
#> [101] -0.2516407619 -0.0722158702 0.0481214117 0.0878547386 0.2365199389
#> [106] 0.0720834752 0.0172630736 0.1621414294 0.0669883046 -0.0223041572
#> [111] 0.1332137880 -0.1790930286 -0.0537361499 -0.1363353217 -0.0080408641
#> [116] -0.1039156659 -0.1688493873 0.0937646718 -0.1510602016 -0.2751300601
#> [121] -0.0078923496 -0.2444895748 -0.0193326527 -0.0789055407 0.0710386339
#> [126] -0.0836203406 -0.0648156295 0.0477466415 0.1116862475 -0.1541274920
#> [131] -0.0480710314 0.0317894451 -0.1546734512 0.0569489512 0.0968466501
#> [136] -0.1011245439 0.0303761630 -0.0046701878 -0.1370287239 -0.0412208665
#> [141] -0.0643852055 0.0637248145 -0.0001101403 -0.1698098970 -0.0524027577
#> [146] -0.0794491850 0.0333274258 -0.0324838804 0.0067796204 0.0828803132
#> [151] 0.1716370684 -0.0140084721 -0.0653918719 0.1658749137 -0.0966679878
#> [156] 0.1869231956 0.1281295488 -0.0811804857 -0.0805791988 -0.0691581141
#> [161] 0.1305278441 -0.1529172199 0.1599108115 -0.0733169851 0.1015836620
#> [166] 0.1125991326 -0.1749420060 -0.1717280049 0.0908772893 -0.0217094923
#> [171] -0.4300090759 -0.0425083138 0.1811450830 0.2602652498 0.1184010880
#> [176] 0.2732924411 0.1328595805 0.0023713398 0.0210058423 -0.1184662729
#> [181] -0.1682151609 0.0067201336 -0.1225684559 0.0246012787 -0.1259495123
#> [186] -0.0535436718 0.2305518078 -0.1273256036 0.1614882061 -0.0656927884
#> [191] 0.0673262094 -0.0057917666 -0.0154156277 -0.0377946234 0.2390510865
#> [196] 0.0344042397 0.1851935178 -0.0359077165 0.1182062542 0.0439971565
#> [201] 0.1031953285 -0.0593346335 -0.0668757605 -0.1828578977 -0.1323178660
#> [206] -0.0015770389 -0.0631845686 -0.0389236836 -0.1010106653 0.2179226394
#> [211] 0.1411590900 -0.1549706770 -0.1272041618 -0.0786185323 0.1790527418
#> [216] -0.1544072771 -0.0027274244 -0.1422702234 0.0294512021 -0.0374594516
#> [221] -0.0349098325 0.0248557867 -0.1496959249 -0.0285102757 -0.2567993475
#> [226] 0.0280940558 0.0961371697 -0.0263719348 0.0369652600 -0.0201058085
#> [231] -0.0837565345 -0.0668643423 0.1478934016 0.1040528400 -0.1763810747
#> [236] -0.0251285385 0.1402637433 0.2297906067 -0.0991823107 0.1562081224
#> [241] 0.0095693786 -0.0290787490 0.1190812106 -0.1944544003 -0.0128825990
#> [246] 0.0655009332 -0.1764787232 -0.0622386162 -0.0976353251 0.0548986962
#> [251] -0.0855778229 0.2380274148 -0.1740317215 -0.2167116417 -0.0926495776
#> [256] -0.0184106729 0.1540016862 0.2203762945 -0.1282428913 -0.0735616931
#> [261] 0.1254809616 0.0466389157 -0.1881371661 0.0466609441 -0.0490099853
#> [266] -0.1137098303 -0.0014925614 0.0217112360 -0.0545144776 0.0835184582
#> [271] -0.1601144640 -0.1642930619 0.1136224512 0.1837804527 0.1269085028
#> [276] -0.0602763958 0.0078512159 0.0656819811 -0.0035267336 -0.0637800958
#> [281] -0.0237994000 0.0960375967 0.1914054620 -0.1584932266 -0.0005807319
#> [286] 0.0588269973 0.1453602995 0.0114621997 0.0971449806 -0.2028520114
#> [291] -0.0360304383 0.3382955444 -0.0738429839 0.0662822780 -0.0261201849
#> [296] -0.0326635962 0.0464992921 -0.0479589181 0.0882725309 -0.1221265259
#> [301] 0.1537146339 0.0811940038 -0.0669250439 -0.1100669960 0.0225289021
#> [306] 0.1267289282 0.2201449660 -0.1520458529 -0.0574048648 0.1212152790
#> [311] -0.1102545447 0.0767798026 -0.0320886655 -0.0325065511 -0.1784325410
#> [316] 0.0291605051 -0.0501113413 0.0791381581 0.0220257299 -0.0481979188
#> [321] 0.0070009621 0.0830185740 0.0963903481 -0.3164351374 0.1027157532
#> [326] -0.1951495637 -0.3047111143 -0.1678032114 0.0292701023 -0.0390370116
#> [331] -0.0618497893 -0.0747648415 0.1425615178 -0.0045804666 -0.0923345319
#> [336] 0.0491065531 -0.0545413024 -0.1870136720 -0.0103783295 -0.1495300533
#> [341] -0.0178235548 0.2086244638 0.1352269609 -0.1386856853 -0.1904980001
#> [346] -0.0193720069 0.1196367291 -0.1739632776 0.1388122925 -0.1315965478
#> [351] -0.0717236401 -0.0002224509 -0.1110498032 -0.2096315118 0.1103975911
#> [356] -0.1970496057 -0.0186668002 -0.0729445420 0.0062014729 -0.2242934870
#> [361] -0.0895922783 -0.0865028367 0.0838656250 -0.0134855370 -0.0630818520
#> [366] -0.0206140267 0.0914754466 -0.0835639786 0.0924884035 -0.0034416486
#> [371] -0.2043824013 0.0514734202 0.0505220712 -0.1695013959 0.0387625394
#> [376] 0.0204870219 0.0470956678 0.1141215497 0.1152365698 0.1747690116
#> [381] -0.0593266396 -0.0772680487 -0.1676779872 0.0894369772 0.0391159930
#> [386] 0.0294686390 -0.0491901504 -0.1999941768 0.0809793158 0.0459885025
#> [391] 0.1379393391 0.0094740671 0.0459232493 0.0337257280 -0.0229626794
#> [396] 0.0252017040 -0.0758285410 -0.0060868450 -0.0489271996 -0.2113354180
#> [401] 0.0441386266 -0.3233222100 0.0824088473 0.2199877532 -0.0169185213
#> [406] -0.0253852211 -0.1015930260 0.0082857759 -0.0009523077 -0.0559559724
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#> [1376] -0.1542095962 0.1425457438 0.0341612196 0.1928613426 -0.0530550628
#> [1381] 0.0031165152 -0.1656406600 0.0916323970 0.1089419650 -0.0492610057
#> [1386] -0.0313638592 0.0406526262 -0.1943671993 -0.1069670175 -0.2004611993
#> [1391] 0.0032782881 -0.0802936027 0.0923205480 0.0947640227 0.0320959558
#> [1396] -0.0418156293 0.0643847831 -0.1365431784 0.0294124154 -0.0347559561
#> [1401] 0.0328247026 -0.0263796212 -0.0083590636 0.0161272865 0.0882157483
#> [1406] -0.0159307819 -0.1853496689 0.0028681310 -0.0822440967 0.1246663187
#> [1411] -0.0981195762 0.0803293734 -0.0766817211 -0.0148190022 0.0129294345
#> [1416] -0.0355485764 0.0404009245 0.0636243116 -0.0709654314 -0.1424993840
#> [1421] -0.0351104157 0.0204185235 0.1453257986 -0.2353767605 0.0787602423
#> [1426] 0.1431722809 -0.0085367403 0.0297660531 -0.0246245027 -0.0785492697
#> [1431] 0.1335935008 -0.1426831005 -0.1384674668 -0.0330724617 0.1285245113
#> [1436] -0.0395901210 -0.2139663938 0.0513445879 -0.0560051151 -0.0556408419
#> [1441] -0.0217150274 0.0339215141 -0.0229007688 -0.0337592987 -0.0523630967
#> [1446] -0.2232581809 0.0816153598 -0.0288719219 -0.1069034586 0.1557934935
#> [1451] -0.2103868224 0.0093463407 -0.1497017301 0.0491828769 0.0357665278
#> [1456] 0.0250864489 -0.1101739015 -0.0813950651 -0.1321356567 -0.0174376388
#> [1461] 0.1469407643 -0.1289541657 0.1152644903 0.0026651413 0.0056254103
#> [1466] -0.0216741591 0.0948394613 0.0221967075 0.1355489380 0.2316048273
#> [1471] -0.1066785106 -0.0431580356 0.1511623582 0.0680691059 0.1586088854
#> [1476] -0.1318738282 -0.0973093839 -0.0924908311 -0.0269295156 -0.0556521333
#> [1481] -0.0550205235 -0.0292638462 -0.0102545651 0.0031230166 0.0479443044
#> [1486] -0.0719151155 -0.0763797082 0.0526268470 0.1348697067 -0.0753414537
#> [1491] -0.0764608493 -0.1722153542 -0.3018695947 -0.1924532482 -0.0877567201
#> [1496] -0.1235426062 -0.1076709265 0.0405920659 0.1557052644 0.1198678908
#> [1501] 0.1536973140 -0.1893754714 0.1164083040 -0.0228869271 0.1681714327
#> [1506] -0.0878702716 -0.0819277656 0.1494515046 -0.0254224065 -0.1909182751
#> [1511] 0.0447170925 -0.2369907912 -0.0622781860 0.0567632412 0.0083603797
#> [1516] -0.0923265802 -0.0610045999 -0.0181167561 -0.1627520593 0.0036138020
#> [1521] 0.0496367497 0.0178538137 -0.0790917271 0.0316413779 -0.1639043849
#> [1526] -0.0242474875 0.0861065227 0.0254338430 -0.0883213349 0.1441252954
#> [1531] -0.0414545842 -0.1320584850 0.1157772298 -0.0752293516 -0.0820589388
#> [1536] 0.0445193420 -0.1504366147 0.0933705565 0.0758949794 0.0921749602
#> [1541] -0.0716256256 -0.0113575841 -0.0883396740 -0.0630059281 0.0068866021
#> [1546] -0.0184801763 0.0576444477 0.0247065679 0.0353268637 -0.0776844079
#> [1551] -0.0141856996 -0.1311767232 -0.0560071223 -0.0709980210 -0.0019513516
#> [1556] -0.1292273541 -0.1310535644 -0.2279421736 -0.1678619406 -0.1440719462
#> [1561] -0.0279712722 0.0238804830 0.0696550481 -0.0215263533 -0.0972527424
#> [1566] -0.0677383465 -0.0110436549 0.0545080557 0.0427882721 -0.0899810561
#> [1571] -0.0033626504 0.0270120897 -0.0937148966 0.1526253680 0.0539032337
#> [1576] -0.0008484911 -0.1507697241 0.1183474534 -0.0474219971 -0.1200902943
#> [1581] -0.1392511936 0.1086066803 0.1311049632 -0.0106126594 0.0597367799
#> [1586] -0.0573655216 -0.0562825490 0.2754408957 -0.1277046701 -0.1211297852
#> [1591] 0.3026551945 -0.1264826093 0.0408364210 0.1159235725 -0.0806345188
#> [1596] 0.1542684832 -0.0673236133 -0.0943789854 0.1086578258 0.0711330046
#> [1601] -0.1290084011 -0.1514007601 -0.0248980453 -0.2024791766 -0.0344147195
#> [1606] 0.0452418947 -0.0401997871 -0.2196254414 -0.0411136206 0.1006925295
#> [1611] -0.0347435369 -0.0690773061 -0.1201770243 0.0264177040 -0.0631485788
#> [1616] 0.0204798766 0.0310130587 -0.0474485522 0.0380868808 -0.0014950845
#> [1621] -0.0220155797 -0.0002294490 -0.0649561294 0.0340947934 -0.1568241506
#> [1626] 0.0565009849 0.1001679472 -0.0449556343 0.1550705706 -0.0433365341
#> [1631] 0.0524478269 0.0359148962 0.0034972684 -0.2310277132 -0.0954436523
#> [1636] 0.1023221461 -0.0370598999 -0.0523035729 -0.1699408334 0.1433616889
#> [1641] 0.0938500699 -0.1009430353 0.0451486309 0.1339960955 -0.0742516812
#> [1646] 0.1408434773 0.1198926997 -0.0074098673 -0.1951546110 -0.0506038984
#> [1651] 0.0266652586 0.2078898038 -0.1469932152 0.2714026516 0.2376486477
#> [1656] -0.0827185637 -0.0021584951 -0.2157491264 -0.0841225432 -0.0739377670
#> [1661] -0.0427957241 0.0616756073 0.2709990694 0.0056510877 -0.0845968548
#> [1666] -0.0504036792 0.0458832901 0.1302532202 -0.0895481378 -0.0609076742
#> [1671] 0.0250336347 -0.1694784412 -0.0859864786 -0.0894846676 0.0523179943
#> [1676] -0.0941304269 -0.1199089453 0.0163245158 0.0580504262 -0.3115359002
#> [1681] -0.1130500902 0.0006663145 -0.0732263516 0.1201607801 -0.1956354724
#> [1686] 0.1575738712 0.1592330665 0.1272858769 0.0029898867 -0.1196387684
#> [1691] -0.1005411487 -0.0124820006 -0.1418251196 -0.1877085636 -0.0208937446
#> [1696] 0.1915172185 -0.0787323650 -0.2190400459 -0.1186704615 -0.1001060001
#> [1701] -0.0930855152 0.0881439157 0.0037345884 0.0152773578 -0.0508503713
#> [1706] -0.0367031075 -0.1235006469 -0.0697620876 0.0749199553 0.1302497168
#> [1711] -0.0122158455 -0.0271526498 -0.0807264210 0.1395189664 0.0103043381
#> [1716] 0.0630987479 -0.1446059152 -0.0675581443 -0.1829954201 -0.0705808674
#> [1721] -0.0732851838 -0.0402155198 -0.0347342701 -0.0348122385 0.0686602597
#> [1726] -0.1065962286 -0.0719176344 -0.0508584713 -0.3488394459 0.0842127387
#> [1731] -0.0437215864 -0.0393559805 0.0260477370 0.0984270467 0.2092260423
#> [1736] -0.1667697198 -0.0180045185 -0.1672696392 -0.1203220770 -0.2034660392
#> [1741] 0.1897298208 -0.0322719568 -0.0469828285 -0.0817471472 -0.0264157735
#> [1746] 0.0348294809 0.3430768425 -0.1046623998 0.2050216784 0.0773730070
#> [1751] -0.0082214246 0.1877898182 0.1103444410 -0.0774094986 0.1302295906
#> [1756] 0.0234445758 0.0400471120 -0.1456611006 -0.2081519108 -0.0817421149
#> [1761] -0.0914550572 0.0555802936 0.1451124035 -0.1914784545 -0.0472285576
#> [1766] 0.2627779771 0.1925336801 0.0806340938 0.2285158307 -0.0144395508
#>
#> $mod2_unimodal$sim_properties$feature$prop_outliers_feature
#> [1] 0
#>
#>
#>
#> $mod2_unimodal$resource_usage
#> $mod2_unimodal$resource_usage$memory_mb
#> NULL
#>
#> $mod2_unimodal$resource_usage$elapsed_time
#> NULL
#>
#>
#>
#> $clustering
#> list()
#>
#> $batch
#> list()
#>
#> $signal
#> list()
#>
#> $trajectory
#> $trajectory$pseudotime_correlation
#> [1] 1
#>
#> $trajectory$tree_height_rmse
#> [1] NA
#>
#> $trajectory$pseudotime_MAD
#> [1] 0.4272106
#>
#> $trajectory$pseudotime_KS
#> [1] 0.7973528
#>
#> $trajectory$pseudotime_MAE
#> [1] 0.3871033
#>
#> $trajectory$pseudotime_RMSE
#> [1] 0.3982072
#>
#> $trajectory$pseudotime_OV
#> [1] 0.2252745
#>
#> $trajectory$pseudotime_Bhattacharyya
#> [1] 0.006268418
#>
#> $trajectory$pseudotime_Wasserstein
#> [1] 0.3871033
#>
#> $trajectory$pseudotime_ECDF_DiffArea
#> [1] 0.3877229
#>
#> $trajectory$pseudotime_Runs_Statistic
#> [1] -7.772059
#>
#> $trajectory$pseudotime_Runs_PValue
#> [1] 3.861015e-15
#>
#> $trajectory$pseudotime_NN_Mismatch
#> [1] 0.80625
#>
#> $trajectory$pseudotime_Between_Dataset_Silh_Global
#> [1] 0.5144246
#>
#> $trajectory$pseudotime_Between_Dataset_Silh_Local
#> [1] 0.6821646
#>
#>
#> $cross_modality
#> $cross_modality$correlation
#> $cross_modality$correlation$cross_modality_cor_MAD
#> [1] 0.06236202
#>
#> $cross_modality$correlation$cross_modality_cor_KS
#> [1] 0.3096934
#>
#> $cross_modality$correlation$cross_modality_cor_MAE
#> [1] 0.06352891
#>
#> $cross_modality$correlation$cross_modality_cor_RMSE
#> [1] 0.06626403
#>
#> $cross_modality$correlation$cross_modality_cor_OV
#> [1] 0.7564079
#>
#> $cross_modality$correlation$cross_modality_cor_Bhattacharyya
#> [1] 0.001537345
#>
#> $cross_modality$correlation$cross_modality_cor_Wasserstein
#> [1] 0.06352891
#>
#> $cross_modality$correlation$cross_modality_cor_ECDF_DiffArea
#> [1] 0.1199979
#>
#> $cross_modality$correlation$cross_modality_cor_Runs_Statistic
#> [1] -3.300231
#>
#> $cross_modality$correlation$cross_modality_cor_Runs_PValue
#> [1] 0.0004830262
#>
#> $cross_modality$correlation$cross_modality_cor_NN_Mismatch
#> [1] 0.1166667
#>
#> $cross_modality$correlation$cross_modality_cor_Between_Dataset_Silh_Global
#> [1] 0.05927015
#>
#> $cross_modality$correlation$cross_modality_cor_Between_Dataset_Silh_Local
#> [1] 0.1521508
#>
#>
#> $cross_modality$foscttm
#> $cross_modality$foscttm$foscttm
#> [1] 0.5086719
#>
#> $cross_modality$foscttm$foscttm_xy
#> [1] 0.5221875
#>
#> $cross_modality$foscttm$foscttm_yx
#> [1] 0.4951563
#>
#> $cross_modality$foscttm$match_at_1
#> [1] 0.0125
#>
#> $cross_modality$foscttm$match_at_5
#> [1] 0.0375
#>
#> $cross_modality$foscttm$cell_foscttm
#> Cell_01 Cell_02 Cell_03 Cell_04 Cell_05 Cell_06 Cell_07 Cell_08 Cell_09 Cell_10
#> 0.28750 0.31875 0.57500 0.73750 0.50625 0.65000 0.13750 0.53125 0.47500 0.38750
#> Cell_11 Cell_12 Cell_13 Cell_14 Cell_15 Cell_16 Cell_17 Cell_18 Cell_19 Cell_20
#> 0.83750 0.40625 0.78750 0.34375 0.49375 0.68750 0.61250 0.47500 0.65000 0.66875
#> Cell_21 Cell_22 Cell_23 Cell_24 Cell_25 Cell_26 Cell_27 Cell_28 Cell_29 Cell_30
#> 0.39375 0.46250 0.41250 0.41250 0.19375 0.29375 0.47500 0.16875 0.78125 0.50000
#> Cell_31 Cell_32 Cell_33 Cell_34 Cell_35 Cell_36 Cell_37 Cell_38 Cell_39 Cell_40
#> 0.63750 0.28125 0.47500 0.63750 0.20625 0.59375 0.58750 0.48750 0.04375 0.50625
#> Cell_41 Cell_42 Cell_43 Cell_44 Cell_45 Cell_46 Cell_47 Cell_48 Cell_49 Cell_50
#> 0.30000 0.50625 0.87500 0.93125 0.43125 0.44375 0.43125 0.56875 0.45000 0.63125
#> Cell_51 Cell_52 Cell_53 Cell_54 Cell_55 Cell_56 Cell_57 Cell_58 Cell_59 Cell_60
#> 0.37500 0.50000 0.61250 0.63125 0.26250 0.92500 0.90000 0.19375 0.27500 0.63750
#> Cell_61 Cell_62 Cell_63 Cell_64 Cell_65 Cell_66 Cell_67 Cell_68 Cell_69 Cell_70
#> 0.79375 0.72500 0.33125 0.52500 0.22500 0.47500 0.20000 0.62500 0.75000 0.46875
#> Cell_71 Cell_72 Cell_73 Cell_74 Cell_75 Cell_76 Cell_77 Cell_78 Cell_79 Cell_80
#> 0.15625 0.76875 0.57500 0.46875 0.65000 0.25000 0.88125 0.79375 0.24375 0.78750
#>
#>
#> $cross_modality$generation
#> $cross_modality$generation$mean_cell_pcc
#> [1] 0.09899522
#>
#> $cross_modality$generation$median_cell_pcc
#> [1] 0.09133045
#>
#> $cross_modality$generation$mean_cell_scc
#> [1] 0.08919417
#>
#> $cross_modality$generation$median_cell_scc
#> [1] 0.08261161
#>
#> $cross_modality$generation$mean_feat_pcc
#> [1] 0.05131179
#>
#> $cross_modality$generation$median_feat_pcc
#> [1] 0.03826392
#>
#> $cross_modality$generation$mean_feat_scc
#> [1] 0.04942824
#>
#> $cross_modality$generation$median_feat_scc
#> [1] 0.04267922
#>
#> $cross_modality$generation$mean_cell_cosine
#> [1] 0.4229327
#>
#> $cross_modality$generation$rmse
#> [1] 0.8115058
#>
#> $cross_modality$generation$mae
#> [1] 0.5452083
#>
#>
#> $cross_modality$coupling
#> $cross_modality$coupling$mean_coupling_cor
#> [1] -0.001963288
#>
#> $cross_modality$coupling$median_coupling_cor
#> [1] 0.01616763
#>
#> $cross_modality$coupling$positive_coupling_ratio
#> [1] 0.55
#>
#> $cross_modality$coupling$mean_r_squared
#> [1] 0.01060828
#>
#> $cross_modality$coupling$coupling_correlations
#> [1] 0.015194978 0.058485252 -0.090965978 0.089721260 0.202521151
#> [6] -0.020868876 0.068777953 0.077640700 0.069505004 0.055055182
#> [11] 0.143429719 0.079864097 0.206203616 0.029973118 0.063955052
#> [16] 0.029548607 -0.136909086 0.111108638 -0.248289136 0.125954306
#> [21] -0.094989844 -0.250287868 0.025233984 0.093328918 -0.118869173
#> [26] 0.057448066 0.085650172 -0.124241771 -0.017090584 -0.044231542
#> [31] -0.047755400 0.099747643 -0.034890038 0.021178956 0.062047091
#> [36] -0.012464995 0.052404393 -0.115128779 -0.106324820 0.124400130
#> [41] -0.040188741 -0.050433918 -0.038667927 -0.232728202 0.053127204
#> [46] -0.009652697 -0.020780989 0.080916632 -0.192664064 -0.025950193
#> [51] 0.010163389 0.053972515 -0.104056539 -0.105067714 -0.193817466
#> [56] 0.117108214 -0.059048002 0.008664312 0.029096532 0.017140289
#>
#>
#> $cross_modality$coaccessibility
#> $cross_modality$coaccessibility$rv_coefficient
#> [1] 0.601441
#>
#> $cross_modality$coaccessibility$coaccessibility_pearson
#> [1] 0.1128223
#>
#> $cross_modality$coaccessibility$coaccessibility_spearman
#> [1] 0.09024237
#>
#> $cross_modality$coaccessibility$frobenius_distance
#> [1] 0.005272351
#>
#> $cross_modality$coaccessibility$coaccessibility_mae
#> [1] 0.1245817
#>
#>
#> $cross_modality$coexpression
#> $cross_modality$coexpression$module_correlation_r
#> [1] -0.01457616
#>
#> $cross_modality$coexpression$module_correlation_rmse
#> [1] 0.1690945
#>
#> $cross_modality$coexpression$module_correlation_mae
#> [1] 0.1360054
#>
#> $cross_modality$coexpression$ref_modularity_ratio
#> [1] 0.5568422
#>
#> $cross_modality$coexpression$sim_modularity_ratio
#> [1] -0.02798568
#>
#> $cross_modality$coexpression$modularity_fidelity
#> [1] 0
#>
#>
#> $cross_modality$profile
#> $cross_modality$profile$global_pcc
#> [1] 0.8205078
#>
#> $cross_modality$profile$global_scc
#> [1] 0.8173937
#>
#> $cross_modality$profile$kl_divergence
#> [1] 0.01480141
#>
#> $cross_modality$profile$mean_celltype_pcc
#> [1] NA
#>
#> $cross_modality$profile$mean_celltype_scc
#> [1] NA
#>
#> $cross_modality$profile$celltype_summary
#> NULL
#>
#>
#>
#> $resource_usage
#> $resource_usage$memory_mb
#> NULL
#>
#> $resource_usage$elapsed_time
#> NULL
#>
#>