NormalizeMets: Analysis of Metabolomics Data
Version 0.24

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) ).

Package details

AuthorAlysha M De Livera, Gavriel Olshansky
Date of publication2018-02-22 18:06:55 UTC
MaintainerAlysha M De Livera <[email protected]>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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NormalizeMets documentation built on Feb. 23, 2018, 1:03 a.m.