通过层次分子表示和细胞系潜伏空间融合来预测协同药物组合

Can Bai1, Xianjun Han2, Siqi Li2

  • 1School of Acupuncture and Tuina, Anhui University of Chinese Medicine, Hefei, 230012, China.

概括

这项研究引入了一种新的深度学习模型,用于预测协同作用的抗癌药物组合. 该模型通过捕捉详细的分子特征和减少细胞系数据中的噪声来提高准确性,帮助个性化癌症治疗的开发.

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