NormalizeMets: Analysis of 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 is a collection of functions designed to implement, assess, and choose a suitable normalization method for a given metabolomics study (De Livera et al (2015) <doi:10.1021/ac502439y>).

Version: 0.22
Depends: R (≥ 3.4.0)
Imports: RGtk2, impute, crmn, gplots, limma, plotly, statTarget, Biobase, DiffCorr, e1071, AUC, htmlwidgets, metabolomics, MetNorm, ggplot2, GGally, grid
Suggests: knitr, rmarkdown
Published: 2017-10-22
Author: Alysha M De Livera, Gavriel Olshansky
Maintainer: Alysha M De Livera <alyshad at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: NormalizeMets results


Reference manual: NormalizeMets.pdf
Vignettes: User Manual
Package source: NormalizeMets_0.22.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel: not available
OS X El Capitan binaries: r-release: not available
OS X Mavericks binaries: r-oldrel: not available
Old sources: NormalizeMets archive


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