RPA

DOI: 10.18129/B9.bioc.RPA  

RPA: Robust Probabilistic Averaging for probe-level analysis

Bioconductor version: Release (3.16)

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 "4.2") 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")

 

HTML RPA R package
PDF   Reference Manual
Text   NEWS
Text   LICENSE

Details

biocViews GeneExpression, Microarray, Preprocessing, QualityControl, Software
Version 1.54.0
In Bioconductor since BioC 2.5 (R-2.10) (13.5 years)
License BSD_2_clause + file LICENSE
Depends R (>= 3.1.1), affy, BiocGenerics, BiocStyle, methods, rmarkdown
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
Links To Me
Build Report  

Package Archives

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

Source Package RPA_1.54.0.tar.gz
Windows Binary RPA_1.54.0.zip (64-bit only)
macOS Binary (x86_64) RPA_1.54.0.tgz
macOS Binary (arm64) RPA_1.54.0.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

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