MetabolomicsBasics: Basic Functions to Investigate Metabolomics Data Matrices

A set of functions to investigate raw data from (metabol)omics experiments intended to be used on a raw data matrix, i.e. following peak picking and signal deconvolution. Functions can be used to normalize data, detect biomarkers and perform sample classification.

Version: 1.0
Depends: R (≥ 2.10.0)
Imports: C50, caret, e1071, mixOmics, pcaMethods, plyr, rpart, rattle
Published: 2018-03-23
Author: Jan Lisec [aut, cre]
Maintainer: Jan Lisec <jan.lisec at>
License: GPL-3
NeedsCompilation: no
Citation: MetabolomicsBasics citation info
CRAN checks: MetabolomicsBasics results


Reference manual: MetabolomicsBasics.pdf
Package source: MetabolomicsBasics_1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: not available, r-oldrel: not available


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