-西

Zhe Su1, Yiying Tong2, Guo-Wei Wei1,3,4

  • 1Department of Mathematics, Michigan State University, East Lansing, MI 48824, USA.

AIMS mathematics
|September 29, 2025
PubMed
概括

我们介绍了一种用于对多元体拓数据分析的新方法,称为持久的霍奇拉普拉西安 (PHL). 这种方法使机器学习应用程序的多重拓学习成为可能,在预测蛋白质-连接体结合亲缘关系方面显示出前景.

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