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Updated: Jan 17, 2026

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
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对比的超图协作过用于转移RNA与疾病的关联预测

Tianxiang Ouyang1, Yuanpeng Zhang2, Zhijian Huang1

  • 1School of Computer Science and Engineering, Central South University, 932 Lushan South Road, Yuelu District, Changsha, Hunan 410083, China.

Briefings in bioinformatics
|September 25, 2025
PubMed
概括

这项研究介绍了CoHGCL,这是一种用于预测转移RNA (tRNA) 和疾病关联的新型计算框架. 该方法显著提高了识别这些关键链接的准确性,以了解疾病机制.

关键词:
过度图形 (hypergraph) 是一个超图形.神经协作过神经协作过节点级的对比学习学习.与tRNA疾病相关的关联

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