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

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Bibliographic Details
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
Description
ISSN:1476-928X
DOI:10.1016/j.compbiolchem.2026.109403