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Updated: Jan 6, 2026

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Published on: July 5, 2024

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非编码RNA家族的分类基于多特征的融合和卷积块注意力残余网络的分类

Qian Xu1, Feifei Li1, Guosheng Han1

  • 1Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education and Human Key Laboratory for Computation and Simulation in Science and Engineering, Xiangtan University, Yuhu District, Yanggutang Street, Xiangtan 411105, Hunan, China.

Briefings in bioinformatics
|November 10, 2025
PubMed
概括

一种新的3D图形方法和nRMFCA模型改善了非编码RNA (ncRNA) 家族分类. 这种方法有效地提取序列和结构信息,优于ncRNA研究的现有方法.

关键词:
3D图形表示 3D图形表示非编码RNA家族分类的分类.卷积式的注意力阻断注意力.多特征的核聚变是多特征的

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