EGSEA123

DOI: 10.18129/B9.bioc.EGSEA123  

Easy and efficient ensemble gene set testing with EGSEA

Bioconductor version: Release (3.16)

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>

Installation

To install this package, start R (version "4.2") and enter:

if (!require("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	1.22.0
License	Artistic-2.0
Depends	R (>= 3.4.0), EGSEA(>= 1.5.2), limma(>= 3.49.2), edgeR, illuminaio
Imports
LinkingTo
Suggests	knitr, rmarkdown, BiocStyle
SystemRequirements
Enhances
URL	https://f1000research.com/articles/6-2010
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_1.22.0.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/
Package Downloads Report	Download Stats