Bioconductor-mirror/cogena: co-expressed gene-set enrichment analysis
Version 1.11.0

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.

Getting started

Package details

Bioconductor views Clustering DataImport DataRepresentation GO GeneExpression GeneSetEnrichment KEGG Microarray Pathways Sequencing SystemsBiology Visualization
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
Bioconductor-mirror/cogena documentation built on June 1, 2017, 6:38 a.m.