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This is the development version of EGSEA123; for the stable release version, see EGSEA123.

Easy and efficient ensemble gene set testing with EGSEA

Bioconductor version: Development (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 wehi.edu.au>

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


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

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

# The following initializes usage of Bioc devel


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 1.27.0
License Artistic-2.0
Depends R (>= 3.4.0), EGSEA(>= 1.5.2), limma(>= 3.49.2), edgeR, illuminaio
System Requirements
URL https://f1000research.com/articles/6-2010
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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_1.27.0.tar.gz
Windows Binary
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/EGSEA123
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/EGSEA123
Package Short Url https://bioconductor.org/packages/EGSEA123/
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