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Updated: Jun 23, 2025

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
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PGCNMDA:学习节点表示沿路径与图形卷积网络来预测miRNA-疾病关联

Shuang Chu1, Guihua Duan2, Cheng Yan1

  • 1School of Informatics, Hunan University of Chinese Medicine, Changsha 410208, China.

Methods (San Diego, Calif.)
|June 23, 2024
PubMed
概括

我们开发了PGCNMDA,这是一种使用图形卷积网络来预测miRNA-疾病关联的新计算方法. 这种方法提高了准确性,通过识别与各种疾病相关的关键微RNA来帮助诊断和治疗疾病.

关键词:
图表 卷积网络 卷积网络与miRNA疾病的关联路径学习学习路径学习路径空间卷积的空间卷积

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