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cff-version: 1.2.0
message: 'To cite package "cogena" in publications use:'
type: software
license: LGPL-3.0-only
title: 'cogena: co-expressed gene-set enrichment analysis'
version: 1.46.0
doi: 10.32614/CRAN.package.cogena
abstract: 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.
authors:
- family-names: Jia
  given-names: Zhilong
  email: zhilongjia@gmail.com
- family-names: Barnes
  given-names: Michael
  email: m.r.barnes@qmul.ac.uk
repository: https://bioc-release.r-universe.dev
repository-code: https://github.com/zhilongjia/cogena
commit: dc5c79e1d2d28431e42190b3c16e06bc15c7db51
url: https://github.com/zhilongjia/cogena
date-released: '2026-04-28'
contact:
- family-names: Jia
  given-names: Zhilong
  email: zhilongjia@gmail.com