Sparse Marker Models
Sparse Marker Models is a statistical modeling approach in genomic prediction that belongs to the class of marker-based regression methods, distinguished by its deliberate selection and retention of only a small subset of genetic markers with nonzero effects to improve prediction accuracy and interpretability in the presence of high-dimensional, sparse genetic data.
15
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1.2K
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67
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39
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2017–2026
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Matthew Loper, Naureen Mahmood, Michael J. Black · ACM Transactions on Graphics · 2014 · 355 citations · Full text
Arts, Anatomy, 3D Modeling +16
Fast Local and Global Similarity Searches in Large Motion Capture Databases
Björn Krüger, Jochen Tautges, Andreas Weber⋆ et al. · 2011 · 112 citations
The genetic architecture of growth and fillet traits in farmed Atlantic salmon (Salmo salar)
Hsin Yuan Tsai, Alastair Hamilton, D. R. Guy et al. · BMC Genetics · 2015 · 91 citations · Full text
Life Sciences, Fisheries, Genetics +17
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IIT@MIT
Cambridge, United States
2 h-index
2 publications
52 citations

Norwegian University of Life Sciences
Ås, Norway
2 h-index
3 publications
94 citations
Stanford University
Stanford, United States
2 h-index
3 publications
62 citations
Massachusetts General Hospital
Boston, United States
2 h-index
4 publications
104 citations

University of Edinburgh
Edinburgh, United Kingdom
2 h-index
2 publications
73 citations
Roslin Institute
Dalkeith, United Kingdom
2 h-index
4 publications
297 citations
Clemson University
Clemson, United States
2 h-index
3 publications
66 citations
Center for Systems Biology
Boston, United States
2 h-index
2 publications
52 citations
1–8 of 39
2 publications · 80 citations
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GSE · 2 publications · 70 citations
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TOG · 1 publications · 355 citations
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1 publications · 14 citations
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1 publications · 196 citations
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