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.
- Version1.4.5
- R versionunknown
- LicenseGPL-3
- Needs compilation?No
- Languageen-US
- MetabolomicsBasics citation info
- Last release01/31/2024
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Jan Lisec
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- Imports8 packages