Marker-to-trait Mapping
Marker-To-Trait Mapping is a computational method that identifies and quantifies associations between biological markers and phenotypic traits through statistical or machine learning models to enable predictive phenotype inference from marker data.
131
Publications
9.7K
Citations
685
Authors
275
Institutions
Publications per year
2017–2026
28
Parents
131
A Modified Algorithm for the Improvement of Composite Interval Mapping
Huihui Li, Guoyou Ye, Jiankang Wang · Genetics · 2006 · 811 citations · Full text
Predicting Quantitative Traits With Regression Models for Dense Molecular Markers and Pedigree
Gustavo de los Campos, Hugo Naya, Daniel Gianola et al. · Genetics · 2009 · 622 citations · Full text
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275
University of Wisconsin–Madison
Madison, United States
8 h-index
27 publications
3.5K citations
Columbia University
New York, United States
5 h-index
6 publications
630 citations
Harvard University
Cambridge, United States
5 h-index
10 publications
1.4K citations

Commonwealth Scientific and Industrial Research Organisation
Canberra, Australia
4 h-index
11 publications
635 citations

Agricultural Research Service
Washington, United States
4 h-index
6 publications
500 citations
Inserm
Paris, France
4 h-index
11 publications
497 citations
Brazilian Agricultural Research Corporation
Brasília, Brazil
3 h-index
8 publications
202 citations
Jackson Laboratory
Bar Harbor, United States
3 h-index
6 publications
401 citations
1–8 of 275
12 publications · 2.5K citations
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8 publications · 425 citations
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7 publications · 170 citations
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5 publications · 269 citations
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AJHG · 5 publications · 585 citations
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