The NormalizeMets package is a collection of functions for the statistical 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.
Run browseVignettes("NormalizeMets")
or
vignette("NormalizeMets_vignette", package = "NormalizeMets")
for more details.
Alysha M De Livera, Gavriel Olshansky
Maintainer: Alysha M De Livera <alyshad@unimelb.edu.au>
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