cogena: co-expressed gene-set enrichment analysis
Version 1.10.0

cogena is a workflow for co-expressed gene-set enrichment analysis. It aims to discovery smaller scale, but highly correlated cellular events that may be of great biological relevance. A novel pipeline for drug discovery and drug repositioning based on the cogena workflow is proposed. Particularly, candidate drugs can be predicted based on the gene expression of disease-related data, or other similar drugs can be identified based on the gene expression of drug-related data. Moreover, the drug mode of action can be disclosed by the associated pathway analysis. In summary, cogena is a flexible workflow for various gene set enrichment analysis for co-expressed genes, with a focus on pathway/GO analysis and drug repositioning.

Package details

AuthorZhilong Jia [aut, cre], Michael Barnes [aut]
Bioconductor views Clustering DataImport DataRepresentation GO GeneExpression GeneSetEnrichment KEGG Microarray Pathways Sequencing SystemsBiology Visualization
MaintainerZhilong Jia <[email protected]>
LicenseLGPL-3
Version1.10.0
URL https://github.com/zhilongjia/cogena
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
source("https://bioconductor.org/biocLite.R")
biocLite("cogena")

Try the cogena package in your browser

Any scripts or data that you put into this service are public.

cogena documentation built on May 31, 2017, 1:29 p.m.