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Updated: Feb 28, 2026

RNA Secondary Structure Prediction Using High-throughput SHAPE
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RNA Secondary Structure Prediction Using High-throughput SHAPE

Published on: May 31, 2013

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使用人工智能预测非编码RNA功能

David da Costa Correia1, Francisco M Couto2, Hugo Martiniano3

  • 1Departamento de Promoção da Saúde e Prevenção de Doenças não Transmissiveis, Instituto Nacional de Saúde Doutor Ricardo Jorge, Avenida Padre Cruz, Lisboa, 1649-016, Portugal; BioISI - Biosystems and Integrative Sciences Institute, Faculdade de Ciências da Universidade de Lisboa, Campo Grande, Lisboa, 1749-016, Portugal; Departamento de Informática, Faculdade de Ciências da Universidade de Lisboa, Campo Grande, Lisboa, 1749-016, Portugal; LASIGE, Faculdade de Ciências da Universidade de Lisboa, Campo Grande, Lisboa, 1749-016, Portugal.

Journal of biomedical informatics
|February 25, 2026
PubMed
概括

这项研究开发了一种方法,利用自然语言处理 (NLP) 和大型语言模型 (LLM) 从科学文献中提取非编码RNA (ncRNA) 和表型关系. 该方法获得了高F1分数,对未来的ncRNA研究具有前景.

关键词:
远程监督 远程监督 远程监督大型语言模型没有编码的RNAs.关系提取 关系提取文本挖掘 (Text Mining) 是一种文字挖掘方式.

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