Graph-based Disease Classification
Graph-Based Disease Classification is a computational framework that organizes and categorizes diseases based on topological patterns and functional relationships within biological networks, distinguishing it from traditional classification systems by leveraging graph-theoretical principles to uncover disease modules and molecular interdependencies.
153
Publications
8.4K
Citations
668
Authors
312
Institutions
Publications per year
2017–2026
121
Parents
153
Multi-modal classification of Alzheimer's disease using nonlinear graph fusion
Tong Tong, Katherine R. Gray, Qinquan Gao et al. · Pattern Recognition · 2016 · 251 citations
1–5 of 153
668
Xinjiang Technical Institute of Physics & Chemistry, China
6 publications · 234 citations
6
h-index
6
h-index
5
h-index
5
h-index
5
h-index
1–5 of 668
312

Hunan University
Changsha, China
9 h-index
13 publications
463 citations

University of Electronic Science and Technology of China
Chengdu, China
8 h-index
19 publications
723 citations

Shandong Normal University
Jinan, China
7 h-index
10 publications
236 citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
7 h-index
27 publications
1K citations

Northwestern Polytechnical University
Xi'an, China
7 h-index
10 publications
292 citations

Chinese Academy of Sciences
Beijing, China
6 h-index
15 publications
798 citations

Central South University
Changsha, China
6 h-index
20 publications
726 citations
China University of Mining and Technology
Xuzhou, China
5 h-index
11 publications
423 citations
1–8 of 312
11 publications · 470 citations
11
h-index
7 publications · 616 citations
7
h-index
6 publications · 313 citations
6
h-index
6 publications · 1.1K citations
6
h-index
6 publications · 191 citations
6
h-index
1–5