FSFT6mA: a feature-synthesis fine-tuning framework for DNA 6mA site prediction.

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Bibliographic Details
Title: FSFT6mA: a feature-synthesis fine-tuning framework for DNA 6mA site prediction.
Authors: Yu HJ; School of Computer Science, Nanjing University of Information Science and Technology, Nanjing, China., Zhang Y; School of Artificial Intelligence, Nanjing Normal University of Special Education, Nanjing, China., Yu DJ; School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China., Zheng G; School of Computer Science, Nanjing University of Information Science and Technology, Nanjing, China.
Source: Frontiers in genetics [Front Genet] 2026 Jan 12; Vol. 16, pp. 1750223. Date of Electronic Publication: 2026 Jan 12 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Research Foundation Country of Publication: Switzerland NLM ID: 101560621 Publication Model: eCollection Cited Medium: Print ISSN: 1664-8021 (Print) Linking ISSN: 16648021 NLM ISO Abbreviation: Front Genet Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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ISSN:1664-8021
DOI:10.3389/fgene.2025.1750223