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.

GSEAlm

   

This package is for version 3.4 of Bioconductor; for the stable, up-to-date release version, see GSEAlm.

Linear Model Toolset for Gene Set Enrichment Analysis

Bioconductor version: 3.4

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")):

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("GSEAlm")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("GSEAlm")

 

PDF R Script Linear models in GSEA
PDF   Reference Manual

Details

biocViews Microarray, Software
Version 1.34.0
In Bioconductor since BioC 2.2 (R-2.7) (9 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  

Package Archives

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

Package Source GSEAlm_1.34.0.tar.gz
Windows Binary GSEAlm_1.34.0.zip
Mac OS X 10.9 (Mavericks) GSEAlm_1.34.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/GSEAlm/tree/release-3.4
Package Short Url http://bioconductor.org/packages/GSEAlm/
Package Downloads Report Download Stats

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