NormalizeMets (version 0.25)
Analysis of Metabolomics Data
Description
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) ).