To install this package, start R and enter:

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

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

ArrayTools

This package is for version 2.13 of Bioconductor; for the stable, up-to-date release version, see ArrayTools.

geneChip Analysis Package

Bioconductor version: 2.13

This package is designed to provide solutions for quality assessment and to detect differentially expressed genes for the Affymetrix GeneChips, including both 3' -arrays and gene 1.0-ST arrays. The package generates comprehensive analysis reports in HTML format. Hyperlinks on the report page will lead to a series of QC plots, processed data, and differentially expressed gene lists. Differentially expressed genes are reported in tabular format with annotations hyperlinked to online biological databases.

Author: Xiwei Wu, Arthur Li

Maintainer: Arthur Li <xueli at coh.org>

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

Installation

To install this package, start R and enter:

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

Documentation

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

browseVignettes("ArrayTools")

PDF	R Script	1. Primer
PDF		Reference Manual

Details

biocViews	Annotation, DifferentialExpression, Microarray, OneChannel, Preprocessing, QualityControl, ReportWriting, Software, Statistics, Visualization
Version	1.22.0
In Bioconductor since	BioC 2.3 (R-2.8) (7.5 years)
License	LGPL (>= 2.0)
Depends	R (>= 2.7.0), affy(>= 1.23.4), Biobase(>= 2.5.5), methods
Imports	affy, Biobase, graphics, grDevices, limma, methods, stats, utils, xtable
LinkingTo
Suggests	simpleaffy, R2HTML, affydata, affyPLM, genefilter, annaffy, gcrma, hugene10sttranscriptcluster.db
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report

Package Archives

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

Package Source	ArrayTools_1.22.0.tar.gz
Windows Binary	ArrayTools_1.22.0.zip
Mac OS X 10.6 (Snow Leopard)	ArrayTools_1.22.0.tgz
Subversion source	(username/password: readonly)
Git source	https://github.com/Bioconductor-mirror/ArrayTools/tree/release-2.13
Package Short Url	http://bioconductor.org/packages/ArrayTools/
Package Downloads Report	Download Stats

Documentation »

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