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Updated: Jan 29, 2026

Constructing and Visualizing Models using Mime-based Machine-learning Framework
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Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

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BiGvCL:用于预测药物-基因相互作用的基于二分位图的跨域对比学习模型

Shida He1,2,3, Zixu Wang4, Jing Li5

  • 1The Joint Innovation Center for Engineering in Medicine, Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou People's Hospital, No. 100, Minjiang Avenue, Kecheng District, Quzhou, Zhejiang, 324000, China.

Briefings in bioinformatics
|January 28, 2026
PubMed
概括

这项研究介绍了BiGvCL,这是一种用于仅使用网络拓学预测药物基因相互作用 (DGI) 的新型计算框架. 这种方法通过识别新的相互作用而提高精准医学和药物发现,而不需要明确的药物或基因特征.

关键词:
相反的学习学习学习.跨领域的知识转移.药物 - 基因相互作用图形神经网络是一个神经网络.传导式学习是指传导式学习.

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