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KA4GANC: A Kolmogorov–Arnold graph attention network approach for predicting gene regulations using single-cell RNA-sequencing data

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成果类型:
期刊论文
作者:
Kan Zhang;Mugang Lin*;Lingzhi Zhu;Yunhui Wang;Wenzhuo He
通讯作者:
Mugang Lin
作者机构:
[Kan Zhang; Yunhui Wang; Wenzhuo He] Hengyang Normal University of College of Computer Science and Technology, Hengyang, 421002, Hunan, China
[Lingzhi Zhu] School of Computer Science and Engineering, Hunan Institute of Technology, Hengyang, 421002, Hunan, China
Hunan Engineering Research Center of Cyberspace Security Technology and Applications, Hengyang, 421002, Hunan, China
Hunan Provincial Key Laboratory of Intelligent Information Processing and Application, Hengyang, 421002, Hunan, China
[Mugang Lin] Hengyang Normal University of College of Computer Science and Technology, Hengyang, 421002, Hunan, China<&wdkj&>Hunan Engineering Research Center of Cyberspace Security Technology and Applications, Hengyang, 421002, Hunan, China<&wdkj&>Hunan Provincial Key Laboratory of Intelligent Information Processing and Application, Hengyang, 421002, Hunan, China
通讯机构:
[Mugang Lin] H
Hengyang Normal University of College of Computer Science and Technology, Hengyang, 421002, Hunan, China<&wdkj&>Hunan Engineering Research Center of Cyberspace Security Technology and Applications, Hengyang, 421002, Hunan, China<&wdkj&>Hunan Provincial Key Laboratory of Intelligent Information Processing and Application, Hengyang, 421002, Hunan, China
语种:
英文
期刊:
Biomedical Signal Processing and Control
ISSN:
1746-8094
年:
2026
卷:
113
页码:
108868
基金类别:
CRediT authorship contribution statement Kan Zhang: Writing – review & editing, Writing – original draft, Visualization, Software, Methodology, Investigation, Formal analysis, Data curation, Conceptualization. Mugang Lin: Writing – review & editing, Writing – original draft, Supervision, Project administration, Methodology, acquisition, Formal analysis, Conceptualization. Lingzhi Zhu: Methodology, Formal analysis, Conceptualization. Yunhui Wang: Visualization, Software, Data curation. Wenzhuo He: Visualization, Software, Data
机构署名:
本校为第一且通讯机构
摘要:
Gene regulatory networks (GRNs) have revealed the internal mechanism and complex relationship of gene expression regulation, and its research is of great significance for the in-depth understanding of life activities and accurate disease diagnosis. Although the existing methods can realize the expression analysis at the cell level with the promotion of single-cell RNA sequencing(scRNA-seq) technology, most focus on the interaction between local genes, and it is difficult to capture the overall organizational structure and long-term regulatory e...

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