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.

Author
Alysha M De Livera
Date of publication
2015-02-08 17:13:45
Maintainer
Alysha M De Livera <alyshad@unimelb.edu.au>
License
GPL-2 | GPL-3
Version
0.1

View on CRAN

Man pages

MetNorm-package
MetNorm
NormalizeRUVRand
RUV-random normalized data
NormalizeRUVRandClust
RUV-random method for clustering
normdata
Normalized data -class
UV
Example data

Files in this package

MetNorm
MetNorm/NAMESPACE
MetNorm/data
MetNorm/data/UV.RData
MetNorm/R
MetNorm/R/RUVRand.R
MetNorm/R/NormalizeRUVRand.R
MetNorm/R/print.normdata.R
MetNorm/R/NormalizeRUVRandClust.R
MetNorm/MD5
MetNorm/DESCRIPTION
MetNorm/man
MetNorm/man/NormalizeRUVRandClust.Rd
MetNorm/man/NormalizeRUVRand.Rd
MetNorm/man/MetNorm-package.Rd
MetNorm/man/UV.Rd
MetNorm/man/normdata.Rd