A network-based deep learning model integrating subclonal architecture for therapy response prediction in cancer
Sungnam Kim, Doyeon Ha, A-Reum Nam, Sehyoung Cheong, Juhun Lee, Sanguk Kim, Solip Park
This paper introduces SubNetDL, a deep learning model that uses subclonal mutation profiles and protein-protein interaction networks to predict cancer therapy response, achieving strong performance across multiple cancer types and treatment modalities.
Cell Reports Methods · Apr 17, 2026Peer-reviewedCancer Biology