EGSEA123

DOI: 10.18129/B9.bioc.EGSEA123    

Easy and efficient ensemble gene set testing with EGSEA

Bioconductor version: Release (3.9)

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

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 "3.6") and enter:

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

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")

 

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

Details

biocViews GeneExpressionWorkflow, ImmunoOncologyWorkflow, Workflow
Version 1.8.0
License Artistic-2.0
Depends R (>= 3.4.0), EGSEA(>= 1.5.2), limma, edgeR, illuminaio
Imports
LinkingTo
Suggests knitr, rmarkdown, BiocStyle
SystemRequirements
Enhances
URL https://www.bioconductor.org/help/workflows/
Depends On Me
Imports Me
Suggests Me
Links To Me

Package Archives

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

Source Package EGSEA123_1.8.0.tar.gz
Windows Binary
Mac OS X 10.11 (El Capitan)
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 http://bioconductor.org/packages/EGSEA123/
Package Downloads Report Download Stats

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