Interpretable prediction of drug synergy for breast cancer by random forest with features from Boolean modeling of signaling pathways

Abstract Breast cancer is a complex and challenging disease to treat, and despite progress in combating it, drug resistance remains a significant hindrance. Drug combinations have shown promising results in improving therapeutic outcomes, and many machine learning models have been proposed to identi...

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Bibliographic Details

Published in:	Scientific Reports
Main Authors:	Kittisak Taoma, Marasri Ruengjitchatchawalya, Kanthida Kusonmano, Teerasit Termsaithong, Thana Sutthibutpong, Monrudee Liangruksa, Teeraphan Laomettachit
Format:	Article
Language:	English
Published:	Nature Portfolio 2025-05-01
Subjects:	Breast cancer Drug resistance Drug combinations Machine learning Signaling pathways
Online Access:	https://doi.org/10.1038/s41598-025-02444-7