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NAF-CDA: A node-adaptive fusion model for circRNA-disease association prediction.

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Title: NAF-CDA: A node-adaptive fusion model for circRNA-disease association prediction.
Authors: Zhou Y; College of Computer and Information Engineering, Henan Normal University, Xinxiang, 453007, China; Key Laboratory of Artificial Intelligence and Personalized Learning in Education of Henan Province, College of Computer and Information Engineering, Henan Normal University, Xinxiang, 453007, China. Electronic address: zy@htu.edu.cn., Song C; College of Computer and Information Engineering, Henan Normal University, Xinxiang, 453007, China., Cai W; College of Computer and Information Engineering, Henan Normal University, Xinxiang, 453007, China., Liu D; College of Computer and Information Engineering, Henan Normal University, Xinxiang, 453007, China; Key Laboratory of Artificial Intelligence and Personalized Learning in Education of Henan Province, College of Computer and Information Engineering, Henan Normal University, Xinxiang, 453007, China., Wang W; College of Computer and Information Engineering, Henan Normal University, Xinxiang, 453007, China; Key Laboratory of Artificial Intelligence and Personalized Learning in Education of Henan Province, College of Computer and Information Engineering, Henan Normal University, Xinxiang, 453007, China.
Source: Computational biology and chemistry [Comput Biol Chem] 2026 Sep 10; Vol. 126 (Pt 1), pp. 109403. Date of Electronic Publication: 2026 Sep 10.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Country of Publication: England NLM ID: 101157394 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1476-928X (Electronic) Linking ISSN: 14769271 NLM ISO Abbreviation: Comput Biol Chem Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Zhou+Y%22">Zhou Y</searchLink>; College of Computer and Information Engineering, Henan Normal University, Xinxiang, 453007, China; Key Laboratory of Artificial Intelligence and Personalized Learning in Education of Henan Province, College of Computer and Information Engineering, Henan Normal University, Xinxiang, 453007, China. Electronic address: zy@htu.edu.cn.<br /><searchLink fieldCode="AU" term="%22Song+C%22">Song C</searchLink>; College of Computer and Information Engineering, Henan Normal University, Xinxiang, 453007, China.<br /><searchLink fieldCode="AU" term="%22Cai+W%22">Cai W</searchLink>; College of Computer and Information Engineering, Henan Normal University, Xinxiang, 453007, China.<br /><searchLink fieldCode="AU" term="%22Liu+D%22">Liu D</searchLink>; College of Computer and Information Engineering, Henan Normal University, Xinxiang, 453007, China; Key Laboratory of Artificial Intelligence and Personalized Learning in Education of Henan Province, College of Computer and Information Engineering, Henan Normal University, Xinxiang, 453007, China.<br /><searchLink fieldCode="AU" term="%22Wang+W%22">Wang W</searchLink>; College of Computer and Information Engineering, Henan Normal University, Xinxiang, 453007, China; Key Laboratory of Artificial Intelligence and Personalized Learning in Education of Henan Province, College of Computer and Information Engineering, Henan Normal University, Xinxiang, 453007, China.
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  Data: <searchLink fieldCode="JN" term="%22101157394%22">Computational biology and chemistry</searchLink> [Comput Biol Chem] 2026 Sep 10; Vol. 126 (Pt 1), pp. 109403. <i>Date of Electronic Publication: </i>2026 Sep 10.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier%22">Elsevier </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101157394 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1476-928X (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2214769271%22">14769271 </searchLink><i>NLM ISO Abbreviation: </i>Comput Biol Chem <i>Subsets: </i>MEDLINE
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        Value: 10.1016/j.compbiolchem.2026.109403
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        Text: English
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              Text: 2026 Sep 10
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