get_centr_info: Get centrality measures about nodes

In LucaGiudice/Esearch3D: Leveraging gene expression and chromatin architecture to predict intergenic enhancers

Description

This function determines the centrality measures of the genes and fragments included in the CIN and that have a prior information about being or not being enhancer

Usage

get_centr_info(gf_net, ff_net, info)

Arguments

gf_net	Edge list of the chromatin interaction network such that first column are genes and second column are "FragX" fragments
ff_net	Edge list of the chromatin interaction network such that first and second column are "FragX" fragments
info	2-column dataframe, first column is character vector of node names (genes and fragments), second colum is numeric vector of number of enhancer annotations associated to a node

Value

The info matrix with centrality measures associated to the nodes as new meta information

LucaGiudice/Esearch3D documentation built on Dec. 17, 2021, 1:12 a.m.