DEML: Drug Synergy and Interaction Prediction Using Ensemble-Based Multi-Task Learning

DEML: Drug Synergy and Interaction Prediction Using Ensemble-Based Multi-Task Learning

Synergistic drug combinations have demonstrated effective therapeutic effects in cancer treatment. Deep learning methods accelerate identification of novel drug combinations by reducing the search space. However, potential adverse drug–drug interactions (DDIs), which may increase the risks for combi...

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Bibliographic Details
Main Authors: Zhongming Wang, Jiahui Dong, Lianlian Wu, Chong Dai, Jing Wang, Yuqi Wen, Yixin Zhang, Xiaoxi Yang, Song He, Xiaochen Bo
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Molecules
Subjects:
drug synergy
drug–drug interactions
multi-task learning
ensemble learning
deep learning
Online Access:https://www.mdpi.com/1420-3049/28/2/844

Internet

https://www.mdpi.com/1420-3049/28/2/844

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