plotWcorsClusterPathway: plotWcorsClusterPathway
In shazanfar/DCARS: Differential Correlation across Ranked Samples

the plotWcorsClusterPathway function plots network graphs with most represented pathways labelled

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plotWcorsClusterPathway(sigWcorsList, pathways = hallmarks,
  geneUniverse = NULL, cutk = 15, topPathways = 2, cluster = FALSE,
  label_wrap_cut = 20)

`sigWcorsList`	named list of weighted correlation matrices per branch, rows are gene pairs and columns are ordered samples, if it is not a list it will be converted into a list
`pathways`	is a named list containing gene sets for querying, if left NULL defaults to REACTOME c2.all.v6.1.symbols.gmt downloaded from MSigDB
`geneUniverse`	is the universe of genes measured, if null its taken as all the genes in the sigWcorsList
`cutk`	number of weighted correlation clusters to cut hclust
`topPathways`	is the top number of pathways to plot
`cluster`	is a logical if pathway and weighted correlation clustering should be performed
`label_wrap_cut`	number of letters to wrap for labelling heatmap