Jaccard Similarity of Predicted Regulatory Networks / Links

Computes the Jaccard similarity index of top-k edge predictions between two networks or top correlated feature pairs between reference and simulated datasets.

Usage

calc_network_jaccard(edges1, edges2, k = NULL, directed = TRUE)

Arguments

edges1

Data frame or character vector representing the first network.

edges2

Data frame or character vector representing the second network.

k

Integer cutoff for top edge selection (optional).

directed

Logical, whether edges are directed (default TRUE) or undirected (FALSE).

Value

Jaccard similarity index in [0, 1] (|E1 cap E2| / |E1 cup E2|).

Examples

calc_network_jaccard(data.frame(from = c("g1", "g2"), to = c("g2", "g3")),
                     data.frame(from = c("g1", "g2"), to = c("g2", "g3")))
#> [1] 1