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Updated: Jul 11, 2025

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
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使用语义图和函数相似性表示学习对异质信息网络进行药物疾病关联预测

Bo-Wei Zhao1, Xiao-Rui Su1, Yue Yang1

  • 1The Xinjiang Technical Institute of Physics & Chemistry, Chinese Academy of Sciences, Urumqi 830011, China; University of Chinese Academy of Sciences, Beijing 100049, China; Xinjiang Laboratory of Minority Speech and Language Information Processing, Urumqi 830011, China.

Methods (San Diego, Calif.)
|November 16, 2023
PubMed
概括

通过使用语义图表和功能相似性,SFRLDDA通过预测药物和疾病之间的关联来增强药物发现. 这种计算模型提高了识别新药指示的准确性.

关键词:
DDAs DDAs DDAs DDAs DDAs DDAs DDAs DDAs DDAs DDAs DDAs DDAs DDAs药物与疾病的关联预测预测.不同质的信息网络 不同质的信息网络代表性的学习学习.

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