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Updated: May 21, 2025

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GiGs:基于图形的综合高斯核相似性,用于病毒与药物相关性预测

Yixuan Jin1, Juanjuan Huang1,2, Xu Sun1

  • 1Department of Computational Mathematics, School of Mathematics, Jilin University, No. 2699 Qianjin Street, Changchun 130012, China.

Briefings in bioinformatics
|March 20, 2025
PubMed
概括

预测病毒与药物相关性 (VDA) 有助于药物重新定位. 新的GiGs方法通过整合多种数据类型并使用图形规范化来提高预测,准确地识别潜在的抗病毒药物.

关键词:
这是VDAs.抗病毒药物 抗病毒药物药物重新定位 药物重新定位图表规范化的图表矩阵分解因子化

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