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.


Reference manual

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1.1 by Jan Lisec, 3 months ago

Browse source code at

Authors: Jan Lisec [aut, cre]

Documentation:   PDF Manual  

GPL-3 license

Imports C50, caret, e1071, mixOmics, pcaMethods, plyr, rpart, ropls, rlang

See at CRAN