EGSEA123

This is the released version of EGSEA123; for the devel version, see EGSEA123.

All versions

3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8, 3.7

Easy and efficient ensemble gene set testing with EGSEA

Bioconductor version: Release (3.23)

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")):

Monther Alhamdoosh, Charity Law, Luyi Tian, Julie Sheridan, Milica Ng and Matthew Ritchie. EGSEA123: Easy and efficient ensemble gene set testing with EGSEA. doi:10.18129/B9.bioc.EGSEA123, R package version 1.36.0, https://bioconductor.org/packages/EGSEA123.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") 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

No vignettes available

Need some help? Ask on the Bioconductor Support site!

Details

biocViews	GeneExpressionWorkflow, ImmunoOncologyWorkflow, Workflow
Version	1.36.0
In Bioconductor since	BioC 3.7 (R-3.5) (8.5 years)
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

Suggests	knitr, rmarkdown, BiocStyle
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report	Build Report, r-universe

Package Archives

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

Source Package	EGSEA123_1.36.0.tar.gz
Windows Binary (x86_64)
macOS Binary (big-sur-x86_64)
macOS Binary (sonoma-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