EGSEA123
Easy and efficient ensemble gene set testing with EGSEA
Bioconductor version: Release (3.20)
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")):
Installation
To install this package, start R (version "4.4") 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")| Easy and efficient ensemble gene set testing with EGSEA | HTML | R Script |
Details
| biocViews | GeneExpressionWorkflow, ImmunoOncologyWorkflow, Workflow |
| Version | 1.30.0 |
| 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 |
See More
| Suggests | knitr, rmarkdown, BiocStyle |
| Linking To | |
| Enhances | |
| 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_1.30.0.tar.gz |
| Windows Binary (x86_64) | |
| 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 |