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Updated: Jan 17, 2026

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MVSL-DSF:多视图子空间表示学习和跨模态特征动态聚合,用于增强药物副作用频率预测

Mao Liu1, Xiangmin Ji1,2, Yan Ren1,2

  • 1School of Automation and Electrical Engineering, Inner Mongolia University of Science and Technology, Baotou 014010, China.

Journal of chemical information and modeling
|September 17, 2025
PubMed
概括

这项研究引入了一种新的多视图子空间学习方法 (MVSL-DSF),以准确预测药物副作用频率. 该方法通过整合各种数据来改善药物安全性,从而改善药物风险评估和药物监管.

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