This package is for version 3.16 of Bioconductor; for the stable, up-to-date release version, see RUVnormalize.
Bioconductor version: 3.16
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 (from within R,
      enter citation("RUVnormalize")):
To install this package, start R (version "4.2") 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.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("RUVnormalize")
    
| R Script | RUVnormalize | |
| Reference Manual | ||
| Text | NEWS | 
| biocViews | Normalization, Software, StatisticalMethod | 
| Version | 1.32.0 | 
| In Bioconductor since | BioC 3.0 (R-3.1) (8.5 years) | 
| License | GPL-3 | 
| Depends | R (>= 2.10.0) | 
| Imports | RUVnormalizeData, Biobase | 
| LinkingTo | |
| Suggests | |
| SystemRequirements | |
| Enhances | spams | 
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Links To Me | |
| Build Report | 
Follow Installation instructions to use this package in your R session.
| Source Package | RUVnormalize_1.32.0.tar.gz | 
| Windows Binary | RUVnormalize_1.32.0.zip | 
| macOS Binary (x86_64) | RUVnormalize_1.32.0.tgz | 
| macOS Binary (arm64) | RUVnormalize_1.32.0.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 | 
 
  Documentation »
Bioconductor
R / CRAN packages and documentation
 
  Support »
Please read the posting guide. Post questions about Bioconductor to one of the following locations: