gsea_regulon: This function performs GSEA for the negative and positive...
In fossbert/binilib: Carlo's little helper

This function performs GSEA for the negative and positive targets, respectively, of a regulatory gene.

gsea_regulon(
  signature,
  regulon,
  sorting = c("decreasing", "increasing"),
  weight = 1
)

`signature`	Named vector of gene-level statistics (preferably t-statistics)
`regulon`	list object as returned by aracne2regulon (viper package) tfmode named numeric vector of the mode of regulation (MOR) values likelihood numeric vector of interaction confidence values (based on mutual information)
`sorting`	character indicating how to sort the signature (default is decreasing). Passed to gsea1T.
`w`	weight for each gene-level statistic (default = 1)

a list object containing for each gene set:

signature: input signature
ES_pos: enrichment score positive targets
ES_neg: enrichment score negative targets
ES_pos_idx: enrichment score positive targets index
ES_neg_idx: enrichment score negative targets index
RS_pos: running sum for positive targets
RS_neg: running sum for negative targets
gs_idx_pos: indices of the positive targets in the signature
gs_idx_neg: indices of the negative targets in the signature
ledge_pos: gene identifiers of the leading edge for the positive targets
ledge_neg: gene identifiers of the leading edge for the negative targets
ledge_idx_pos: indices of the leading edge gene set members - positive targets
ledge_idx_neg: indices of the leading edge gene set members - negative targets