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RPA

RPA: Robust Probabilistic Averaging for probe-level analysis


Bioconductor version: Release (3.20)

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 (version "4.4") and enter: 


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("RPA")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

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

browseVignettes("RPA")
RPA R package HTML
Reference Manual PDF
NEWS Text
LICENSE Text

Need some help? Ask on the Bioconductor Support site!

Details

biocViews GeneExpression, Microarray, Preprocessing, QualityControl, Software
Version 1.62.0
In Bioconductor since BioC 2.5 (R-2.10) (15 years)
License BSD_2_clause + file LICENSE
Depends R (>= 3.1.1), affy, BiocGenerics, BiocStyle, methods, rmarkdown
Imports phyloseq
System Requirements
URL https://github.com/antagomir/RPA
Bug Reports https://github.com/antagomir/RPA
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Suggests knitr, parallel
Linking To
Enhances
Depends On Me prebs
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Build Report Build Report

Package Archives

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

Source Package RPA_1.62.0.tar.gz
Windows Binary (x86_64) RPA_1.62.0.zip
macOS Binary (x86_64) RPA_1.62.0.tgz
macOS Binary (arm64) RPA_1.62.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/RPA
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/RPA
Bioc Package Browser https://code.bioconductor.org/browse/RPA/
Package Short Url https://bioconductor.org/packages/RPA/
Package Downloads Report Download Stats