To install this package, start R and enter:

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

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

SAGx

   

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

Statistical Analysis of the GeneChip

Bioconductor version: 3.4

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:

## try http:// if https:// URLs are not supported
source("https://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 1.48.0
In Bioconductor since BioC 1.9 (R-2.4) (10.5 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_1.48.0.tar.gz
Windows Binary SAGx_1.48.0.zip (32- & 64-bit)
Mac OS X 10.9 (Mavericks) SAGx_1.48.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/SAGx/tree/release-3.4
Package Short Url http://bioconductor.org/packages/SAGx/
Package Downloads Report Download Stats

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