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>
License: GPL-2 | GPL-3
NeedsCompilation: no
CRAN checks: MetNorm results


Reference manual: MetNorm.pdf


Package source: MetNorm_0.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): MetNorm_0.1.tgz, r-oldrel (arm64): MetNorm_0.1.tgz, r-release (x86_64): MetNorm_0.1.tgz, r-oldrel (x86_64): MetNorm_0.1.tgz


Please use the canonical form to link to this page.