NormalizeMets: Analysis of Metabolomics Data
Version 0.22

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 publication2017-10-22 21:28:55 UTC
MaintainerAlysha M De Livera <[email protected]>
LicenseGPL (>= 2)
Version0.22
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("NormalizeMets")

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NormalizeMets documentation built on Nov. 17, 2017, 4:34 a.m.