SpidermiRanalyze_degree_centrality: Ranking degree centrality genes

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

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)

SpidermiR documentation built on Nov. 8, 2020, 8:25 p.m.