RUVnormalize statistics

To access cutting-edge analytics on consensus tools, life science contexts and associated fields, you will need to subscribe to our premium service.


Citations per year

Citations chart

Popular tool citations

chevron_left Normalization Normalization chevron_right
Popular tools chart

Tool usage distribution map

Tool usage distribution map

Associated diseases

Associated diseases

RUVnormalize specifications


Unique identifier OMICS_12933
Name RUVnormalize
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux, Mac OS, Windows
Programming languages R
License GNU General Public License version 3.0
Computer skills Advanced
Version 1.14.0
Stability Stable
R(>=2.10.0), Biobase, RUVnormalizeData
Maintained Yes


Add your version



  • person_outline Laurent Jacob <>

Publication for RUVnormalize

RUVnormalize in publications

PMCID: 5499114
PMID: 28468817
DOI: 10.1534/g3.117.040683

[…] package. the deseq () method is implemented in the bioconductor package. for all methods, we ran the r function using default parameters. remove unwanted variants (ruv) () is included in the ruvnormalize bioconductor packages. the model sets up a generalized linear regression model between observed rna-seq read counts and known covariates of interest, along with unknown unwanted […]

PMCID: 4896498
PMID: 27272489
DOI: 10.1371/journal.pone.0156594

[…] estimates were then used to correct batch effects in blrep measurements by rescaling gene expression levels of all probes. for methods v), vi) and vii), r/bioconductor packages affy [], sva [] and ruvnormalize [] were applied to all blrep and blfurep measurements. different linear regression models were applied to estimate a linear equation, which was subsequently used to rescale gene […]

To access a full list of publications, you will need to upgrade to our premium service.

RUVnormalize institution(s)
Laboratoire de Biométrie et Biologie Évolutive, Université de Lyon, Université Lyon 1, CNRS, UMR, Lyon, France; Department of Statistics, University of California, Berkeley, CA, USA; Department of Statistics, University of California, Berkeley, CA, USA; Division of Bioinformatics, Walter and Eliza Hall Institute of Medical Research, Melbourne, VIC, Australia
RUVnormalize funding source(s)
Supported by the SU2C-AACR-DT0409 grant.

RUVnormalize reviews

star_border star_border star_border star_border star_border
star star star star star

Be the first to review RUVnormalize