RPA

RPA: probe reliability and differential gene expression analysis

Bioconductor version: 2.5

Method for analysing probe reliability and differential gene expression on short oligonucleotide arrays as described in Lahti et al. TCBB/IEEE, to appear.

Author: Leo Lahti

Maintainer: Leo Lahti

To install this package, start R and enter:

source("http:///biocLite.R")
biocLite("RPA")    

Documentation

PDF

R Script

RPA

Reference Manual

Details

biocViews	GeneExpression, Microarray, Preprocessing, QualityControl
Depends	R, affy, affydata, methods
Imports
Suggests
System Requirements
License	GPL (>= 2)
URL
Depends On Me
Imports Me
Suggests Me
Version	1.2.0

Package Downloads

Package Source	RPA_1.2.0.tar.gz
Windows Binary	RPA_1.2.0.zip (32- & 64-bit)
MacOS 10.5 (Leopard) binary	RPA_1.2.0.tgz
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