enrichmentEvolution: Resume changes in enrichment for each gene
In drlaguna/GPCNA: Gene Multifunctionality in Secondary Co-expression Analysis

This function analyces two networks determining the enrichment of each gene in each network. Both networks must be made from the same set of genes. The list of genes studied can be provided or all of them will be analyzed.

1 2	enrichmentEvolution(primary.net, secondary.net, significanceThreshold = 0.05, genes = NULL, markers.path = ".")

`primary.net`	A GCN created with `createGCN`
`secondary.net`	A GCN created with `createGCN`
`significanceThreshold`	Max enrichment p-value for a module to be considred as significantly enriched.
`genes`	The list of gene's IDs to be used
`markers.path`	Folder containing user-defined lists of genes to be used as marker genes to determine modules' enrichment. This is done using WGCNA::userListEnrichment function, so they must be in a compatible format. Gene IDs must be expresed using the same format as in the networks.

A data frame showing a row for each gene and the module and enrichment of that gene in both networks. When the module is not enriched a - is shonw. When is enriched by more than a type, they are shown as a list.

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