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Updated: Jun 9, 2025

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
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ACLNDA:一种非对称图形对比学习框架,用于预测异构图中的非编码RNA与疾病的关联

Laiyi Fu1,2,3, ZhiYuan Yao1, Yangyi Zhou1

  • 1School of Automation Science and Engineering, Xi'an Jiaotong University, Xi'an, Shannxi 710049, China.

Briefings in bioinformatics
|October 23, 2024
PubMed
概括

这项研究介绍了ACLNDA,这是一个用于预测非编码RNA (ncRNA) 和疾病关联的新框架. ACLNDA有效地分析复杂的关系,改善疾病机制的理解和治疗目标的识别.

关键词:
不对称的图形对比学习学习.在层内部的相似边缘.非编码RNA疾病关联.两个跳跃的相似性.

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