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Interpretable machine learning with tree-based shapley additive explanations: Application to metabolomics datasets for binary classification

Machine learning (ML) models are used in clinical metabolomics studies most notably for biomarker discoveries, to identify metabolites that discriminate between a case and control group. To improve understanding of the underlying biomedical problem and to bolster confidence in these discoveries, mod...

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Detalles Bibliográficos
Autor principal: Bifarin, Olatomiwa O.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10159207/
https://www.ncbi.nlm.nih.gov/pubmed/37141218
http://dx.doi.org/10.1371/journal.pone.0284315