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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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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2023
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| 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 |