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 <doi:10.1007/978-1-4939-7819-9_20>.
| Version: | 1.4.7 |
| Depends: | R (≥ 2.10.0) |
| Imports: | C50,caret,e1071,fs,HiResTEC,InterpretMSSpectrum,pcaMethods,plyr,rpart,rlang,webchem |
| Suggests: | mixOmics,ropls,xcms |
| Published: | 2025-12-03 |
| DOI: | 10.32614/CRAN.package.MetabolomicsBasics |
| Author: | Jan Lisec [aut, cre] |
| Maintainer: | Jan Lisec <jan.lisec at bam.de> |
| License: | GPL-3 |
| URL: | https://github.com/janlisec/MetabolomicsBasics |
| NeedsCompilation: | no |
| Language: | en-US |
| Citation: | MetabolomicsBasics citation info |
| Materials: | README |
| In views: | Omics |
| CRAN checks: | MetabolomicsBasics results |
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