Machine learning enables accurate and rapid prediction of active molecules against breast cancer cells
Shuyun He, Duancheng Zhao, Yanle Ling, Hanxuan Cai, Yike Cai, Jiquan Zhang, Ling Wang
The paper develops machine learning models to predict active molecules against breast cancer cells, achieving high accuracy across different cell subtypes.
Frontiers in Pharmacology · Dec 17, 2021Peer-reviewedBioinformatics