To install this package, start R and enter:

## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("RPA")

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

RPA

 

RPA: Robust Probabilistic Averaging for probe-level analysis

Bioconductor version: Release (3.1)

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>

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

Installation

To install this package, start R and enter:

## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("RPA")

Documentation

PDF   Reference Manual
Text   NEWS
Text   LICENSE

Details

biocViews GeneExpression, Microarray, Preprocessing, QualityControl, Software
Version 1.24.0
In Bioconductor since BioC 2.5 (R-2.10) (6 years)
License BSD_2_clause + file LICENSE
Depends R (>= 3.1.1), parallel, affy, methods
Imports
LinkingTo
Suggests affydata
SystemRequirements
Enhances
URL https://github.com/antagomir/RPA
BugReports https://github.com/antagomir/RPA
Depends On Me prebs
Imports Me
Suggests Me
Build Report  

Package Archives

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

Package Source RPA_1.24.0.tar.gz
Windows Binary RPA_1.24.0.zip
Mac OS X 10.6 (Snow Leopard) RPA_1.24.0.tgz
Mac OS X 10.9 (Mavericks) RPA_1.24.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/RPA/tree/release-3.1
Package Short Url http://bioconductor.org/packages/RPA/
Package Downloads Report Download Stats

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