calculate_events: Calculate the number of mutually exclusive or co-mutation...
In jhrcook/wext: Weighted Exclusivity Test (WExT)

Calculate the number of mutually exclusive or co-mutation events in a bipartite graph

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calc_mutex_events(gs, bgr, sample_is = TRUE)

calc_comut_events(gs, bgr, sample_is = TRUE)

`gs`	the "gene set" is a vector of genes to consider
`bgr`	a bipartite graph (as a tidygraph graph object); it must have a boolean node attribute "type" that describes which group each node is in
`sample_is`	either `TRUE` or `FALSE` dictating which boolean value corresponds to the samples in the "type" attribute of `bgr`

set.seed(0)
suppressPackageStartupMessages(library(tidygraph))
bgr <- make_sample_gene_bipartite(
    simple_dataset$sample_name,
    simple_dataset$mutated_gene
)
plot(bgr)
calc_mutex_events(gs = c("a", "b"), bgr)
calc_comut_events(gs = c("c", "d"), bgr)