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Updated: Jun 17, 2025

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HTFSMMA:高阶拓指导的小分子-微RNA协会预测

Xiao-Yan Sun1, Zhen-Jie Hou1, Wen-Guang Zhang2

  • 1School of Computer Science and Artificial Intelligence & Aliyun Big Data, Changzhou University, Changzhou, China.

Journal of computational biology : a journal of computational molecular cell biology
|August 7, 2024
PubMed
概括

这项研究介绍了HTFSMMA,这是一种通过整合本地拓和节点特征来预测小分子-微RNA关联的新方法. HTFSMMA显著提高了预测准确性,超过了现有的方法.

关键词:
深度学习是一种深度学习.小分子微RNA协会预测预测.图表 卷积网络 卷积网络高阶的拓特征是高阶的拓特征.

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