Kernel-based Fusion
Kernel-Based Fusion is a multi-omics data fusion method that integrates heterogeneous biological datasets by mapping them into a common feature space through kernel functions, enabling nonlinear relationships to be captured and jointly analyzed within a unified mathematical framework.
107
Publications
6K
Citations
418
Authors
201
Institutions
Publications per year
2017–2026
56
107
A statistical framework for genomic data fusion
Gert Lanckriet, Tijl De Bie, Nello Cristianini et al. · Bioinformatics · 2004 · 678 citations · Full text
Gunasekaran Manogaran, R. Varatharajan · Multimedia Tools and Applications · 2017 · 234 citations
1–5 of 107
418
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University of Electronic Science and Technology of China, China
6 publications · 372 citations
6
h-index
University of Electronic Science and Technology of China, China
3 publications · 101 citations
3
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2
h-index
1–5 of 418
201

Chinese Academy of Sciences
Beijing, China
6 h-index
7 publications
324 citations
University of South Carolina
Columbia, United States
5 h-index
5 publications
324 citations

University of Electronic Science and Technology of China
Chengdu, China
5 h-index
6 publications
187 citations
Suzhou University of Science and Technology
Suzhou, China
4 h-index
4 publications
299 citations
Quzhou University
Quzhou, China
4 h-index
6 publications
129 citations
Shenzhen Institutes of Advanced Technology
Shenzhen, China
3 h-index
6 publications
151 citations

Shanghai Jiao Tong University
Shanghai, China
3 h-index
7 publications
280 citations

Central South University
Changsha, China
3 h-index
12 publications
343 citations
1–8 of 201
4 publications · 178 citations
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h-index
3 publications · 115 citations
3
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3 publications · 117 citations
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3 publications · 155 citations
3
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3 publications · 882 citations
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