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.
|Author||Alysha M De Livera|
|Date of publication||2015-02-08 17:13:45|
|Maintainer||Alysha M De Livera <email@example.com>|
|License||GPL-2 | GPL-3|
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