APA (7th ed.) Citation

Guldogan, E., Yagin, F. H., Ucuzal, H., Alzakari, S. A., Alhussan, A. A., & Ardigò, L. P. Interpretable Machine Learning for Serum-Based Metabolomics in Breast Cancer Diagnostics: Insights from Multi-Objective Feature Selection-Driven LightGBM-SHAP Models. MDPI AG.

Chicago Style (17th ed.) Citation

Guldogan, Emek, Fatma Hilal Yagin, Hasan Ucuzal, Sarah A. Alzakari, Amel Ali Alhussan, and Luca Paolo Ardigò. Interpretable Machine Learning for Serum-Based Metabolomics in Breast Cancer Diagnostics: Insights from Multi-Objective Feature Selection-Driven LightGBM-SHAP Models. MDPI AG.

MLA (9th ed.) Citation

Guldogan, Emek, et al. Interpretable Machine Learning for Serum-Based Metabolomics in Breast Cancer Diagnostics: Insights from Multi-Objective Feature Selection-Driven LightGBM-SHAP Models. MDPI AG.