MetNorm: Statistical Methods for Normalizing Metabolomics Data

Metabolomics data are inevitably subject to a component of unwanted variation, due to factors such as batch effects, matrix effects, and confounding biological variation. This package contains a collection of R functions which can be used to remove unwanted variation and obtain normalized metabolomics data.

Version: 0.1
Published: 2015-02-08
Author: Alysha M De Livera
Maintainer: Alysha M De Livera <alyshad at unimelb.edu.au>
License: GPL-2 | GPL-3
NeedsCompilation: no
CRAN checks: MetNorm results

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Reference manual: MetNorm.pdf
Package source: MetNorm_0.1.tar.gz
Windows binaries: r-devel: MetNorm_0.1.zip, r-release: MetNorm_0.1.zip, r-oldrel: MetNorm_0.1.zip
OS X El Capitan binaries: r-release: MetNorm_0.1.tgz
OS X Mavericks binaries: r-oldrel: MetNorm_0.1.tgz

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