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.
| Version: | 0.1 |
| Published: | 2015-02-08 |
| Author: | Alysha M De Livera |
| Maintainer: | Alysha M De Livera <alyshad at unimelb.edu.au> |
| License: | GPL-2 | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | MetNorm results |
| Reference manual: | MetNorm.pdf |
| Package source: | MetNorm_0.1.tar.gz |
| Windows binaries: | r-devel: MetNorm_0.1.zip, r-release: MetNorm_0.1.zip, r-oldrel: MetNorm_0.1.zip |
| macOS binaries: | r-release: MetNorm_0.1.tgz, r-oldrel: MetNorm_0.1.tgz |
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