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.

AuthorAlysha M De Livera
Date of publication2015-02-08 17:13:45
MaintainerAlysha M De Livera <alyshad@unimelb.edu.au>
LicenseGPL-2 | GPL-3
Version0.1

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