To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("SAGx")

In most cases, you don't need to download the package archive at all.

SAGx

 

Statistical Analysis of the GeneChip

Bioconductor version: Release (3.1)

A package for retrieval, preparation and analysis of data from the Affymetrix GeneChip. In particular the issue of identifying differentially expressed genes is addressed.

Author: Per Broberg

Maintainer: Per Broberg, <pi.broberg at gmail.com>

Citation (from within R, enter citation("SAGx")):

Installation

To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("SAGx")

Documentation

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

browseVignettes("SAGx")

 

PDF R Script samroc - example
PDF   Reference Manual

Details

biocViews Clustering, DataImport, DifferentialExpression, GeneExpression, GeneSetEnrichment, KEGG, Microarray, MultipleComparison, OneChannel, Pathways, Preprocessing, Regression, Software
Version 1.42.0
In Bioconductor since BioC 1.9 (R-2.4) (9 years)
License GPL-3
Depends R (>= 2.5.0), stats, multtest, methods
Imports Biobase, stats4
LinkingTo
Suggests KEGG.db, hu6800.db, MASS
SystemRequirements
Enhances
URL http://home.swipnet.se/pibroberg/expression_hemsida1.html
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

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

Package Source SAGx_1.42.0.tar.gz
Windows Binary SAGx_1.42.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) SAGx_1.42.0.tgz
Mac OS X 10.9 (Mavericks) SAGx_1.42.0.tgz
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