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A synthetic single-cell RNA sequencing dataset designed for testing, benchmarking, and demonstrating evaluation metrics in scSimEval. Contains paired empirical reference counts and simulated counts across 60 genes and 80 cells from two cell types and two batches.

Usage

data(example_scrna)

Format

A list with 4 elements:

ref

A numeric matrix of reference count data (60 genes x 80 cells).

sim

A numeric matrix of simulated count data (60 genes x 80 cells).

cell_types

A factor of cell-type identities ("TypeA", "TypeB") for the 80 cells.

batch_info

A factor of batch annotations ("Batch1", "Batch2") for the 80 cells.

Source

Synthetic benchmark data generated via negative binomial sampling with cell-type specific expression shifts.

Examples

data(example_scrna)
dim(example_scrna$ref)
#> [1] 60 80
dim(example_scrna$sim)
#> [1] 60 80
table(example_scrna$cell_types)
#> 
#> TypeA TypeB 
#>    40    40