Sparse Multi-trait Models
Sparse Multi-Trait Models is a statistical modeling framework in quantitative genetics that integrates multiple traits into a single predictive model while enforcing sparsity in the estimated genetic effects to identify a subset of relevant traits and markers contributing to complex phenotypes.
8
Publications
308
Citations
55
Authors
29
Institutions
Publications per year
2017–2026
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Parents
8
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55
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29

University of Toronto
Toronto, Canada
1 h-index
1 publications
77 citations
Karlsruhe Institute of Technology
Karlsruhe, Germany
1 h-index
1 publications
77 citations
École Nationale d'Agriculture de Meknès
Meknes, Morocco
1 h-index
1 publications
21 citations
Simon Fraser University
Burnaby, Canada
1 h-index
1 publications
77 citations
National Research Fund Luxembourg
Luxembourg, Luxembourg
1 h-index
2 publications
34 citations

Washington State University
Pullman, United States
1 h-index
2 publications
62 citations
Tianjin Normal University
Tianjin, China
1 h-index
2 publications
22 citations
Edward T. Schafer Agricultural Research Center
Fargo, United States
1 h-index
1 publications
31 citations
1–8 of 29
1 publications · 31 citations
1
h-index
1 publications · 66 citations
1
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JDS · 1 publications · 17 citations
1
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1 publications · 19 citations
1
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1 publications · 77 citations
1
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1–5