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MUS-HGFC: Inferring miRNA-disease associations with multi-scale hypergraph representations

delete2026-05-09
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PRE
AI
陈婧 cover
陈婧 (Jing Chen)
B
Bingtao Wang
Y
Yongtian Wang
J
Jiajie Peng
B
Bing Xiao
K
Kaiyue Zhang
Y
Yifu Xiao
Z
Zhiyuan Wu
T
Tao Wang *
DOI:10.1016/j.ijbiomac.2026.152446delete
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Abstract

Abstract

En 中文
• Leakage-free miRNA similarity based on validated miRNA–target networks. • Hypergraph structure that naturally encodes higher-order relationships • Multi-scale hypergraph jointly capture local and global topology.
Keywords:
miRNA-disease associations
hypergraph structure
multi-scale representation
miRNA similarity
validated miRNA–target networks

Journal

International Journal of Biological Macromolecules cover
International Journal of Biological Macromolecules
IF:
8.5
Papers:
4.9W
Citations:
21.7W

Organization

C
chinese academy of medical sciences
Scholars:
575
Papers: 205
Citations: 0
N
northwestern polytechnical university
Scholars:
1.0W
Papers: 3.8K
Citations: 0
C
central south university
Scholars:
1.7W
Papers: 4.9K
Citations: 3
B
beijing information science and technology university
Scholars:
369
Papers: 153
Citations: 0
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