Interpretable machine learning with tree-based shapley additive explanations: Application to metabolomics datasets for binary classification von Bifarin, Olatomiwa O

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Machine Learning-Enabled Renal Cell Carcinoma Status Prediction Using Multiplatform Urine-Based Metabolomics von Bifarin, Olatomiwa O, Gaul, David A, Sah, Samyukta, Arnold, Rebecca S, Ogan, Kenneth, Master, Viraj A, Roberts, David L, Bergquist, Sharon H, Petros, John A, Fernández, Facundo M, Edison, Arthur S

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Machine Learning Reveals Lipidome Remodeling Dynamics in a Mouse Model of Ovarian Cancer von Bifarin, Olatomiwa O., Sah, Samyukta, Gaul, David A., Moore, Samuel G., Chen, Ruihong, Palaniappan, Murugesan, Kim, Jaeyeon, Matzuk, Martin M., Fernández, Facundo M.

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Urine-Based Metabolomics and Machine Learning Reveals Metabolites Associated with Renal Cell Carcinoma Stage von Bifarin, Olatomiwa O, Gaul, David A, Sah, Samyukta, Arnold, Rebecca S, Ogan, Kenneth, Master, Viraj A, Roberts, David L, Bergquist, Sharon H, Petros, John A, Edison, Arthur S, Fernández, Facundo M

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