Opening the Random Forest Black Box of (1)H NMR Metabolomics Data by the Exploitation of Surrogate Variables

The untargeted metabolomics analysis of biological samples with nuclear magnetic resonance (NMR) provides highly complex data containing various signals from different molecules. To use these data for classification, e.g., in the context of food authentication, machine learning methods are used. The...

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Detalles Bibliográficos
Autores principales: Wenck, Soeren, Mix, Thorsten, Fischer, Markus, Hackl, Thomas, Seifert, Stephan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10608983/
https://www.ncbi.nlm.nih.gov/pubmed/37887402
http://dx.doi.org/10.3390/metabo13101075

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