Bioconductor Developer Survey 2026 Now Open!

cogena

co-expressed gene-set enrichment analysis

Bioconductor version: 3.23 · Package version: 1.46.0

Other Bioconductor versions

devel is the development version; release is the current stable one.

3.24 (devel), 3.23 (release)

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.

DOI: 10.18129/B9.bioc.cogena

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("cogena")

Details

MaintainerZhilong Jia <zhilongjia@gmail.com>
AuthorZhilong Jia [aut, cre], Michael Barnes [aut]
LicenseLGPL-3
URLhttps://github.com/zhilongjia/cogena
Bug Reportshttps://github.com/zhilongjia/cogena/issues
Source branchRELEASE_3_23
Build report Bioconductor build system, r-universe
biocViewsClustering, DataImport, DataRepresentation, GO, GeneExpression, GeneSetEnrichment, KEGG, Microarray, Pathways, Sequencing, Software, SystemsBiology, Visualization
Package Short Url https://bioconductor.org/packages/cogena/

Citation

From within R, enter citation("cogena"):

Zhilong Jia, Michael Barnes. cogena: co-expressed gene-set enrichment analysis. doi:10.18129/B9.bioc.cogena, R package version 1.46.0, https://bioconductor.org/packages/cogena.

Generated from the package metadata; it may differ from the package's own citation.

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packagecogena_1.46.0.tar.gz
Windows binary (x86_64)cogena_1.46.0.zip
macOS binary (arm64)cogena_1.46.0.tgz
macOS binary (x86_64)cogena_1.46.0.tgz
Dependencies

Depends: R (>= 3.6), cluster, ggplot2, kohonen

Imports: methods, class, gplots, mclust, amap, apcluster, foreach, parallel, doParallel, fastcluster, corrplot, biwt, Biobase, reshape2, stringr, tibble, tidyr, dplyr, devtools

Suggests: knitr, rmarkdown (>= 2.1)