SpidermiRanalyze_degree_centrality: Ranking degree centrality genes

In claudiacava/SpidermiR: SpidermiR: An R/Bioconductor package for integrative network analysis with miRNA data

Ranking degree centrality genes

Description

SpidermiRanalyze_degree_centrality provides degree centrality, defined as the total number of direct neighbors for each gene.

Usage

SpidermiRanalyze_degree_centrality(data, cut = NULL)

Arguments

data	SpidermiRanalyze_mirna_network output or SpidermiRanalyze_mirna_gene_complnet
cut	parameter cut is able to cut off other genes

Value

dataframe with the ranked number of direct neighobors for each gene of the network

Examples

miRNA_cN <-data.frame(gA=c('hsa-let-7a','hsa-miR-300'),gB=c('FOXM1','KPNA4'),stringsAsFactors=FALSE)
biomark_of_interest<-c("hsa-let-7a","CDK","FOXO1","hsa-miR-27a")
top10_cent<-SpidermiRanalyze_degree_centrality(miRNA_cN)

claudiacava/SpidermiR documentation built on Oct. 11, 2022, 4:52 p.m.