SpidermiR (version 1.1.8)

SpidermiRanalyze_degree_centrality: 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)