Reference

The WExT package General information about the package
wext	The Weighted-Exclusivity Test
Statistical functions Functions that underpin the statistics for the Weighted Exclusivity Test (WExT)
calculate_row_exclusivity_weights()	Calculate the weights for the Row-Exclusivity test
calculate_row_col_exclusivity_weights()	Calculate the weights for the Row-Column-Exclusivity test
calculate_weighted_row_exclusivity_weights()	Calculate the weights for the Weighted-Row-Exclusivity test
rc_test()	The Row-Column-Exclusivity or Co-mutation test
calc_mutex_events() calc_comut_events()	Calculate the number of mutually exclusive or co-mutation events
Edge swapping Functions used for the edge swap algorithm to sample possible matrices in the Row-Column-Exclusivity test
bipartite_edge_swap()	Swap edges of a bipartite graph
bipartite_edge_swap2()	Swap edges of a bipartite graph (method 2)
bipartite_edge_swap3()	Swap edges of a bipartite graph (method 3)
swap_an_edge()	Swap a single edge
swap_an_edge2()	Swap a single edge (method 2)
swap_an_edgeC()	Swap a single edge (method 2 in C++)
random_edge_nodes()	Return the nodes for a randomly selected edge
remove_edge()	Remove an edge
Utilities utilitiy functions used throughout
to_bipartite_edgelist() edgelist_to_bipartite_graph()	Transform between a bipartite graph and edge list
matrix_to_tibble()	Convert between a mutation matrix and tibble
get_node_index()	Get the indices of nodes after evaluating 'expr'
check_gr()	Check that a node attribute exists for a graph
make_sample_gene_bipartite()	Make the sample-gene bipartite graph
filter_by_mutation_frequency()	Filter a bipartite graph's genes by number of mutations
make_empty_results_tracker() exclusivity_results_tracker() comutation_results_tracker() make_combs_tibble()	Initialize the mutation event tracker tibble
Example data sets Small data sets used for examples and testing
simple_dataset	Simple example data for WExT