calculate_weighted_row_exclusivity_weights: Calculate the weights for the Weighted-Row-Exclusivity test
In jhrcook/wext: Weighted Exclusivity Test (WExT)

View source: R/calculate_weighted_row_exclusivity_weights.R

The weighted test for mutual exclusivity aims to calculate the probability of observing at least t_M mutually exclusive events given a fixed number of samples (row-sums) and a per-gene, per-sample weight matrix W. For further explanation, see the "Computing the Weighted Exclusivity Test (WExT)" vignette. This function creates the weight matrix for the test.

1	calculate_weighted_row_exclusivity_weights(dat, sample_col, mutgene_col)

`dat`	tibble with mutation information
`sample_col`	column of samples names (quoted)
`mutgene_col`	column of genes that are mutated (quoted)

library(wext)
calculate_weighted_row_exclusivity_weights(dat = simple_dataset,
                                           sample_col = sample_name,
                                           mutgene_col = mutated_gene)