This package is for version 3.8 of Bioconductor; for the stable, up-to-date release version, see EGSEA123.
Bioconductor version: 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")
):
To install this package, start R (version "3.5") 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.
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 |
biocViews | GeneExpressionWorkflow, ImmunoOncologyWorkflow, Workflow |
Version | 1.4.1 |
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 |
Follow Installation instructions to use this package in your R session.
Source Package | EGSEA123_1.4.1.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 [email protected]:packages/EGSEA123 |
Package Short Url | http://bioconductor.org/packages/EGSEA123/ |
Package Downloads Report | Download Stats |
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