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

Published Online: 2025-05-22

Authors

Taoma, Kittisak

Ruengjitchatchawalya, Marasri

Kusonmano, Kanthida

Termsaithong, Teerasit

Sutthibutpong, Thana

Liangruksa, Monrudee

Laomettachit, Teeraphan
Funding

Funding for this research was provided by:

Petchra Pra Jom Klao Ph.D. Research Scholarship (KMUTT – NSTDA) from King Mongkut’s University of Technology Thonburi (103/2563)

King Mongkut’s University of Technology Thonburi (KMUTT), Thailand Science Research and Innovation (TSRI), and National Science, Research and Innovation Fund (NSRF) Fiscal year 2024 (FRB670016/0164)
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Text and Data Mining valid from 2025-05-22

Version of Record valid from 2025-05-22
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Article History

Received: 7 January 2025

Accepted: 13 May 2025

First Online: 22 May 2025

Declarations

:

: The authors declare no competing interests.

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