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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.
Getting started
Browse package contents
Package details |
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| Author | Alysha M De Livera |
| Maintainer | Alysha M De Livera <alyshad@unimelb.edu.au> |
| License | GPL-2 | GPL-3 |
| Version | 0.1 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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Try the MetNorm package in your browser
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