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Updated: May 29, 2025

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一个基于多视图特征的可解释深度学习框架,用于药物相互作用预测

Zihui Cheng1, Zhaojing Wang2,3, Xianfang Tang1,4

  • 1School of Computer Science and Artificial Intelligence, Wuhan Textile University, Sunshine Avenue, Wuhan, 430200, China.

Interdisciplinary sciences, computational life sciences
|February 3, 2025
PubMed
概括

本研究介绍了MI-DDI,这是一个新的深度学习框架,通过整合多视图功能来预测药物相互作用 (DDI). MI-DDI提高了预测准确性和可解释性,优于现有方法.

关键词:
药物相互作用 药物相互作用可以解释的预测预测.多视图功能提取多视图功能提取

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