SpidermiRanalyze_Community_detection: Find community detection
In SpidermiR: SpidermiR: An R/Bioconductor package for integrative network analysis with miRNA data

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

1	SpidermiRanalyze_Community_detection(data, type)

`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

a list of clusters with their number of genes

1 2	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")

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

SpidermiR index

README.md Working with SpidermiR package"

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