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cogena

co-expressed gene-set enrichment analysis

Bioconductor version: 3.23 · Package version: 1.46.0

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.

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
Downloads rank417
Source branchRELEASE_3_23
biocViewsClustering, DataImport, DataRepresentation, GO, GeneExpression, GeneSetEnrichment, KEGG, Microarray, Pathways, Sequencing, Software, SystemsBiology, Visualization

Documentation

Download

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)