RPA

DOI: 10.18129/B9.bioc.RPA    

RPA: Robust Probabilistic Averaging for probe-level analysis

Bioconductor version: Release (3.7)

Probabilistic analysis of probe reliability and differential gene expression on short oligonucleotide arrays.

Author: Leo Lahti [aut, cre]

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:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("RPA")

Documentation

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

browseVignettes("RPA")

 

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PDF   Reference Manual
Text   NEWS
Text   LICENSE

Details

biocViews GeneExpression, Microarray, Preprocessing, QualityControl, Software
Version 1.36.0
In Bioconductor since BioC 2.5 (R-2.10) (8.5 years)
License BSD_2_clause + file LICENSE
Depends R (>= 3.1.1), affy, BiocGenerics, methods
Imports phyloseq
LinkingTo
Suggests affydata, knitr, parallel
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.

Source Package RPA_1.36.0.tar.gz
Windows Binary RPA_1.36.0.zip
Mac OS X 10.11 (El Capitan) RPA_1.36.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/RPA
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/RPA
Package Short Url http://bioconductor.org/packages/RPA/
Package Downloads Report Download Stats

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