RPA
This is the development version of RPA; for the stable release version, see RPA.
RPA: Robust Probabilistic Averaging for probe-level analysis
DOI: 10.18129/B9.bioc.RPA
Bioconductor version: Development (3.21)
Probabilistic analysis of probe reliability and differential gene expression on short oligonucleotide arrays.
Author: Leo Lahti [aut, cre] (ORCID:
Maintainer: Leo Lahti <leo.lahti at iki.fi>
Citation (from within R, enter
citation("RPA")):
Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("RPA")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
| Reference Manual |
Details
| biocViews | GeneExpression, Microarray, Preprocessing, QualityControl, Software |
| Version | 1.63.0 |
| 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 | |
| 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 | |
| Windows Binary (x86_64) | RPA_1.63.0.zip |
| macOS Binary (x86_64) | RPA_1.63.0.tgz |
| macOS Binary (arm64) | |
| 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 |