RPA

RPA: probe reliability and differential gene expression analysis

Bioconductor version: 2.8

Probabilistic analysis of probe reliability and differential gene expression on short oligonucleotide arrays. Lahti et al. "Probabilistic Analysis of Probe Reliability in Differential Gene Expression Studies with Short Oligonucleotide Arrays", TCBB/IEEE, 2011. http://doi.ieeecomputersociety.org/10.1109/TCBB.2009.38

Author: Leo Lahti <leo.lahti at iki.fi>

Maintainer: Leo Lahti <leo.lahti at iki.fi>

To install this package, start R and enter:

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

To cite this package in a publication, start R and enter:

    citation("RPA")

Documentation

PDF R Script RPA
PDF   Reference Manual

Details

biocViews GeneExpression, Microarray, Preprocessing, QualityControl
Depends R (>= 2.12.1), affy, affydata, methods
Imports
Suggests
System Requirements
License FreeBSD
URL
Depends On Me
Imports Me
Suggests Me
Version 1.8.01
Since Bioconductor 2.5 (R-2.10)

Package Downloads

Package Source RPA_1.8.01.tar.gz
Windows Binary RPA_1.8.01.zip (32- & 64-bit)
MacOS 10.5 (Leopard) binary RPA_1.8.01.tgz
Package Downloads Report Download Stats

Workflows »

Common Bioconductor workflows include:

 

Mailing Lists »

Post questions about Bioconductor packages to our mailing lists. Read the posting guide before posting!

Fred Hutchinson Cancer Research Center