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.
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 | |
NEWS | Text |
LICENSE | Text |
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 |
See More
Suggests | knitr, parallel |
Linking To | |
Enhances | |
Depends On Me | prebs |
Imports Me | |
Suggests Me | |
Links To Me | |
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 (64-bit only) |
macOS Binary (x86_64) | RPA_1.62.0.tgz |
macOS Binary (arm64) | RPA_1.61.0.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 |