zhilongjia/cogena: co-expressed gene-set enrichment analysis

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
URL https://github.com/zhilongjia/cogena
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
zhilongjia/cogena documentation built on Aug. 1, 2022, 5:09 p.m.