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Easy and efficient ensemble gene set testing with EGSEA

Bioconductor version: Release (3.19)

R package that supports the workflow article `Easy and efficient ensemble gene set testing with EGSEA', Alhamdoosh et al. (2017), F1000Research, 6:2010.

Author: Monther Alhamdoosh, Charity Law, Luyi Tian, Julie Sheridan, Milica Ng and Matthew Ritchie

Maintainer: Matthew Ritchie <mritchie at>

Citation (from within R, enter citation("EGSEA123")):


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:

Easy and efficient ensemble gene set testing with EGSEA HTML R Script


biocViews GeneExpressionWorkflow, ImmunoOncologyWorkflow, Workflow
Version 1.28.0
License Artistic-2.0
Depends R (>= 3.4.0), EGSEA(>= 1.5.2), limma(>= 3.49.2), edgeR, illuminaio
System Requirements
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Suggests knitr, rmarkdown, BiocStyle
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package EGSEA123_1.28.0.tar.gz
Windows Binary
macOS Binary (x86_64)
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Source Repository git clone
Source Repository (Developer Access) git clone
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