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 3.0 of Bioconductor; for the stable, up-to-date release version, see GSEAlm.

Linear Model Toolset for Gene Set Enrichment Analysis

Bioconductor version: 3.0

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")

PDF	R Script	Linear models in GSEA
PDF		Reference Manual

biocViews	Microarray, Software
Version	1.26.0
In Bioconductor since	BioC 2.2 (R-2.7) (8 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	gCMAP
Suggests Me
Build Report

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

Package Source	GSEAlm_1.26.0.tar.gz
Windows Binary	GSEAlm_1.26.0.zip
Mac OS X 10.6 (Snow Leopard)	GSEAlm_1.26.0.tgz
Mac OS X 10.9 (Mavericks)	GSEAlm_1.26.0.tgz
Subversion source	(username/password: readonly)
Git source	https://github.com/Bioconductor-mirror/GSEAlm/tree/release-3.0
Package Short Url	http://bioconductor.org/packages/GSEAlm/
Package Downloads Report	Download Stats

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