Workflow Package: EGSEA123

Easy and efficient ensemble gene set testing with EGSEA

Bioconductor version: Release (3.8)

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 "3.5") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")
BiocManager::install("EGSEA123", version = "3.8")

Documentation

To view available workflows 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, Workflow
Version 1.4.0
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
Build Report  

Documentation »

Bioconductor

R / CRAN packages and documentation

Support »

Please read the posting guide. Post questions about Bioconductor to one of the following locations: