To install this package, start R and enter:

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

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

ABarray

 

Microarray QA and statistical data analysis for Applied Biosystems Genome Survey Microrarray (AB1700) gene expression data.

Bioconductor version: Release (3.1)

Automated pipline to perform gene expression analysis for Applied Biosystems Genome Survey Microarray (AB1700) data format. Functions include data preprocessing, filtering, control probe analysis, statistical analysis in one single function. A GUI interface is also provided. The raw data, processed data, graphics output and statistical results are organized into folders according to the analysis settings used.

Author: Yongming Andrew Sun

Maintainer: Yongming Andrew Sun <sunya at appliedbiosystems.com>

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

Installation

To install this package, start R and enter:

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

Documentation

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

browseVignettes("ABarray")

 

PDF R Script ABarray gene expression
PDF R Script ABarray gene expression GUI interface
PDF   Reference Manual

Details

biocViews Microarray, OneChannel, Preprocessing, Software
Version 1.36.0
In Bioconductor since BioC 1.9 (R-2.4) (8.5 years)
License GPL
Depends
Imports Biobase, graphics, grDevices, methods, multtest, stats, tcltk, utils
LinkingTo
Suggests limma, LPE
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 ABarray_1.36.0.tar.gz
Windows Binary ABarray_1.36.0.zip
Mac OS X 10.6 (Snow Leopard) ABarray_1.36.0.tgz
Mac OS X 10.9 (Mavericks) ABarray_1.36.0.tgz
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