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EGSEA123

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 (3.21)

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")):

Installation

To install this package, start R (version "4.5") and enter: 


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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("EGSEA123")

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

Documentation

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

browseVignettes("EGSEA123")
Easy and efficient ensemble gene set testing with EGSEA HTML R Script

Need some help? Ask on the Bioconductor Support site!

Details

biocViews GeneExpressionWorkflow, ImmunoOncologyWorkflow, Workflow
Version 1.30.0
License Artistic-2.0
Depends R (>= 3.4.0), EGSEA(>= 1.5.2), limma(>= 3.49.2), edgeR, illuminaio
Imports
System Requirements
URL https://f1000research.com/articles/6-2010
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Suggests knitr, rmarkdown, BiocStyle
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Enhances
Depends On Me
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Package Archives

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

Source Package EGSEA123_1.30.0.tar.gz
Windows Binary (x86_64)
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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