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Updated: Jan 13, 2026

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
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基准知识图嵌入模型用于预测寡生组合的基准知识图嵌入模型

Inas Bosch1,2,3,4, Barbara Gravel1,2,3, Alexandre Renaux1,2,3

  • 1Interuniversity Institute of Bioinformatics in Brussels, Université Libre de Bruxelles-Vrije Universiteit Brussel, Boulevard du Triomphe CP263, 1050 Brussels, Belgium.

Briefings in bioinformatics
|January 11, 2026
PubMed
概括

鉴定罕见疾病的基因对是具有挑战性的. 结构化生物数据和知识图嵌入 (KGE) 显著提高了对寡原性原因的预测准确性.

关键词:
基准测试 (benchmarking) 是一种比较的方法.知识图嵌入式知识图嵌入式寡头性关系是一种寡头性关系.病原性预测 病原性预测

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