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  [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 |
| In views: |
Omics |
| CRAN checks: |
MetabolomicsBasics results |
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