This package is for version 3.9 of Bioconductor; for the stable, up-to-date release version, see RUVSeq.
Bioconductor version: 3.9
This package implements the remove unwanted variation (RUV) methods of Risso et al. (2014) for the normalization of RNA-Seq read counts between samples.
Author: Davide Risso [aut, cre, cph], Sandrine Dudoit [aut], Lorena Pantano [ctb], Kamil Slowikowski [ctb]
Maintainer: Davide Risso <risso.davide at gmail.com>
Citation (from within R,
enter citation("RUVSeq")
):
To install this package, start R (version "3.6") and enter:
if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("RUVSeq")
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("RUVSeq")
R Script | RUVSeq: Remove Unwanted Variation from RNA-Seq Data | |
Reference Manual | ||
Text | NEWS |
biocViews | DifferentialExpression, ImmunoOncology, Preprocessing, RNASeq, Software |
Version | 1.18.0 |
In Bioconductor since | BioC 3.0 (R-3.1) (5 years) |
License | Artistic-2.0 |
Depends | Biobase, EDASeq(>= 1.99.1), edgeR |
Imports | methods, MASS |
LinkingTo | |
Suggests | BiocStyle, knitr, RColorBrewer, zebrafishRNASeq, DESeq2 |
SystemRequirements | |
Enhances | |
URL | https://github.com/drisso/RUVSeq |
BugReports | https://github.com/drisso/RUVSeq/issues |
Depends On Me | rnaseqGene |
Imports Me | consensusDE, scone |
Suggests Me | DEScan2 |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | RUVSeq_1.18.0.tar.gz |
Windows Binary | RUVSeq_1.18.0.zip (32- & 64-bit) |
Mac OS X 10.11 (El Capitan) | RUVSeq_1.18.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/RUVSeq |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/RUVSeq |
Package Short Url | https://bioconductor.org/packages/RUVSeq/ |
Package Downloads Report | Download Stats |
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