DTLCDR: A target-based multimodal fusion deep learning framework for cancer drug response prediction

DTLCDR: A target-based multimodal fusion deep learning framework for cancer drug response prediction

Accurate prediction of drug responses in cancer cell lines (CCLs) and transferable prediction of clinical drug responses using CCLs are two major tasks in personalized medicine. Despite the rapid advancements in existing computational methods for preclinical and clinical cancer drug response (CDR) p...

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Bibliographic Details
Main Authors: Jie Yu, Cheng Shi, Yiran Zhou, Ningfeng Liu, Xiaolin Zong, Zhenming Liu, Liangren Zhang
Format: Article
Language:English
Published: Elsevier 2025-08-01
Series:Journal of Pharmaceutical Analysis
Subjects:
Personalized medicine
Cancer drug response
Multimodal fusion
Deep learning
Drug-target interaction
Single-cell language model
Online Access:http://www.sciencedirect.com/science/article/pii/S2095177925001327
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