High-Dimensional Trait Modeling is a methodological framework within multi-trait selection that enables the simultaneous analysis and prediction of numerous phenotypic or genetic traits by leveraging statistical and computational techniques to manage the complexity and interdependencies inherent in high-dimensional biological data.
28
Publications
2.1K
Citations
103
Authors
65
Institutions
Publications per year
2017–2026
7
Parents
Publications
28
1–5 of 28
Authors
103
- JD
2
h-index
- MW
2
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- JC
2
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- TA
2
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- RW
2
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1–5 of 103
Institutions
65
Imperial College London
London, United Kingdom
3 h-index
4 publications
479 citations
Beijing Forestry University
Beijing, China
2 h-index
5 publications
194 citations
University of Oulu
Oulu, Finland
2 h-index
3 publications
81 citations
University of Georgia
Athens, United States
2 h-index
5 publications
559 citations
Yale University
New Haven, United States
2 h-index
2 publications
28 citations
University of Kentucky
Lexington, United States
2 h-index
3 publications
415 citations
University of Idaho
Moscow, United States
2 h-index
6 publications
948 citations
University of Toronto
Toronto, Canada
1 h-index
3 publications
132 citations
1–8 of 65
Venues
- Journal of Theoretical Biology
2 publications · 39 citations
2
h-index
- Bioinformatics
2 publications · 28 citations
2
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- Journal of Abnormal Psychology
2 publications · 313 citations
2
h-index
- Briefings in Bioinformatics
1 publications · 27 citations
1
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- Information Processing & Management
1 publications · 42 citations
1
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1–5