A versatile method that effectively accounts for unwanted variation in DM analyses of 450k data across a wide variety of studies. RUVm performs particularly well in situations where the sources of unwanted variation are large relative to the factor of interest. This method will be of great utility to the EWAS community. All of the core RUV methods, including RUV-inverse, have been implemented in R.

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RUVm classification

RUVm specifications

Software type:
Package
Restrictions to use:
None
Programming languages:
R
Computer skills:
Advanced
Stability:
Stable
Interface:
Command line interface
Operating system:
Unix/Linux, Mac OS, Windows
License:
GNU General Public License version 2.0
Version:
ruv version 0.9.4
Requirements:
R

Publications

  • (Maksimovic et al., 2015) Removing unwanted variation in a differential methylation analysis of Illumina HumanMethylation450 array data. Nucleic acids research.
    DOI: 10.1093/nar/gkv526

RUVm support

Maintainer

Credits

Institution(s)

Murdoch Childrens Research Institute, Royal Children's Hospital, Parkville, VIC 3052, Australia

Link to literature

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