RUVnormalize
This package is for version 3.19 of Bioconductor; for the stable, up-to-date release version, see RUVnormalize.
RUV for normalization of expression array data
Bioconductor version: 3.19
RUVnormalize is meant to remove unwanted variation from gene expression data when the factor of interest is not defined, e.g., to clean up a dataset for general use or to do any kind of unsupervised analysis.
Author: Laurent Jacob
Maintainer: Laurent Jacob <laurent.jacob at univ-lyon1.fr>
citation("RUVnormalize")
):
Installation
To install this package, start R (version "4.4") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("RUVnormalize")
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("RUVnormalize")
RUVnormalize | R Script | |
Reference Manual | ||
NEWS | Text |
Details
biocViews | Normalization, Software, StatisticalMethod |
Version | 1.38.0 |
In Bioconductor since | BioC 3.0 (R-3.1) (10 years) |
License | GPL-3 |
Depends | R (>= 2.10.0) |
Imports | RUVnormalizeData, Biobase |
System Requirements | |
URL |
See More
Suggests | |
Linking To | |
Enhances | spams |
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 | RUVnormalize_1.38.0.tar.gz |
Windows Binary (x86_64) | RUVnormalize_1.38.0.zip (64-bit only) |
macOS Binary (x86_64) | RUVnormalize_1.38.0.tgz |
macOS Binary (arm64) | RUVnormalize_1.38.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/RUVnormalize |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/RUVnormalize |
Bioc Package Browser | https://code.bioconductor.org/browse/RUVnormalize/ |
Package Short Url | https://bioconductor.org/packages/RUVnormalize/ |
Package Downloads Report | Download Stats |