agregateModulesEnrichment: Modules enrichment taking into account subsets of markers
In drlaguna/GPCNA: Gene Multifunctionality in Secondary Co-expression Analysis

Description Usage Arguments Value

This function determine the module enrichment of a GCN taking into account subsets of markers. Each subset is called meta-enrichment.

1 2	agregateModulesEnrichment(enrichment.by.module, celltypes, cellsubtypes, significanceThreshold)

`enrichment.by.module`	a matrix with a column for each module in the network and a row for each enrichment type. Usually, is the matrix generated by `getModulesEnrichment`.
`celltypes`	Vector of charactr with the name of the meta-enrichment types.
`cellsubtypes`	Named list of user-defined lists of genes. Each entry of this list is a vector of a subset of the filenames used by `getModulesEnrichment`. All the genes included in the files will be considered part of the meta-enrichment whose name is the name of the list.
`significanceThreshold`	When this value is lower than 1 this function returns the name of the celltype enrichment of each module which is exclusively enriched by a single celltype with a p-value lower than the value received by this parameter. In this case, the value of return.processed is ignored.

a named vector of meta-enrichment names. Each entry is named after the module it has been found. Only those modules including only one or more significantly p-values from the same meta-enrichment will receive the meta-enrichment name. The rest will have the '-' character.

drlaguna/GPCNA documentation built on Sept. 22, 2020, 11:47 p.m.