NormalizeMets (0.25)

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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 (De Livera et al (2015) ).

Maintainer: Alysha M De Livera
Author(s): Alysha M De Livera, Gavriel Olshansky

License: GPL (>= 2)

Uses: AUC, crmn, e1071, GGally, ggplot2, htmlwidgets, impute, knitr, plotly, rmarkdown

Released over 1 year ago.

3 previous versions



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