Sparse Fusion
Sparse Fusion is a multi-omics data integration method that belongs to the class of fusion techniques leveraging sparsity-inducing constraints to selectively prioritize informative features or samples, thereby distinguishing itself through the explicit modeling of data sparsity to enhance interpretability and reduce overfitting in high-dimensional biological datasets.
21
Publications
788
Citations
90
Authors
49
Institutions
Publications per year
2017–2026
10
Parents
21
1–5 of 21
90
Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR), Germany
3 publications · 198 citations
3
h-index
3
h-index
2
h-index
1
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1
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1–5 of 90
49
Technical University of Munich
Munich, Germany
3 h-index
7 publications
407 citations
Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)
Cologne, Germany
3 h-index
6 publications
337 citations
Remote Sensing Solutions (Germany)
Munich, Germany
2 h-index
5 publications
161 citations

Northwestern Polytechnical University
Xi'an, China
1 h-index
3 publications
93 citations
Colorado State University
Fort Collins, United States
1 h-index
1 publications
54 citations

Chinese Academy of Sciences
Beijing, China
1 h-index
4 publications
160 citations

Tarbiat Modares University
Tehran, Iran
1 h-index
2 publications
180 citations

Sun Yat-sen University
Guangzhou, China
1 h-index
4 publications
84 citations
1–8 of 49
2 publications · 147 citations
2
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1 publications · 22 citations
1
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1 publications · 10 citations
1
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1 publications · 15 citations
1
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1 publications · 18 citations
1
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1–5