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. A detailed description of best practice usage may be found in the publication <https://link.springer.com/protocol/10.1007/978-1-4939-7819-9_20>.

Version: 1.4
Depends: R (≥ 2.10.0)
Imports: C50, caret, e1071, InterpretMSSpectrum, mixOmics, pcaMethods, plyr, Rdisop, rpart, rlang, webchem
Suggests: ropls, xcms
Published: 2023-01-30
Author: Jan Lisec ORCID iD [aut, cre]
Maintainer: Jan Lisec <jan.lisec at bam.de>
License: GPL-3
URL: https://link.springer.com/protocol/10.1007/978-1-4939-7819-9_20
NeedsCompilation: no
Language: en-US
Citation: MetabolomicsBasics citation info
CRAN checks: MetabolomicsBasics results

Documentation:

Reference manual: MetabolomicsBasics.pdf

Downloads:

Package source: MetabolomicsBasics_1.4.tar.gz
Windows binaries: r-devel: MetabolomicsBasics_1.3.zip, r-release: MetabolomicsBasics_1.3.zip, r-oldrel: MetabolomicsBasics_1.3.zip
macOS binaries: r-release (arm64): MetabolomicsBasics_1.4.tgz, r-oldrel (arm64): MetabolomicsBasics_1.4.tgz, r-release (x86_64): MetabolomicsBasics_1.3.tgz, r-oldrel (x86_64): MetabolomicsBasics_1.3.tgz
Old sources: MetabolomicsBasics archive

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