SpidermiRanalyze_Community_detection {SpidermiR} | R Documentation

## Find community detection

### Description

SpidermiRanalyze_Community_detection try to find dense subgraphs in directed or undirected graphs, by optimizing some criteria.

### Usage

    SpidermiRanalyze_Community_detection(data, type)

### Arguments

`data` | SpidermiRanalyze_mirna_network output or SpidermiRanalyze_mirna_gene_complnet
`type` | with the parameter type the user can choose the algorithm to calculate the community structure EB edge.betweenness.community FC fastgreedy.community WC walktrap.community SC spinglass.community LE leading.eigenvector.community LP label.propagation.community

### Value

a list of clusters with their number of genes

### Examples

    miRNA_cN <-data.frame(gA=c('hsa-let-7a','hsa-miR-300'),gB=c('FOXM1','KPNA4'),stringsAsFactors=FALSE)
    comm<-  SpidermiRanalyze_Community_detection(data=miRNA_cN,type="FC")

[Package SpidermiR version 1.10.0 Index]