To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("GSEAlm")
In most cases, you don't need to download the package archive at all.
Bioconductor version: Release (3.5)
Models and methods for fitting linear models to gene expression data, together with tools for computing and using various regression diagnostics.
Author: Assaf Oron, Robert Gentleman (with contributions from S. Falcon and Z. Jiang)
Maintainer: Assaf Oron <assaf at uw.edu>
Citation (from within R,
enter citation("GSEAlm")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("GSEAlm")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("GSEAlm")
R Script | Linear models in GSEA | |
Reference Manual |
biocViews | Microarray, Software |
Version | 1.36.0 |
In Bioconductor since | BioC 2.2 (R-2.7) (9.5 years) |
License | Artistic-2.0 |
Depends | Biobase |
Imports | |
LinkingTo | |
Suggests | GSEABase, Category, multtest, ALL, annotate, hgu95av2.db, genefilter, GOstats, RColorBrewer |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | canceR, gCMAP |
Suggests Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | GSEAlm_1.36.0.tar.gz |
Windows Binary | GSEAlm_1.36.0.zip |
Mac OS X 10.11 (El Capitan) | GSEAlm_1.36.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/GSEAlm |
Package Short Url | http://bioconductor.org/packages/GSEAlm/ |
Package Downloads Report | Download Stats |
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