Bayesian Segregation Analysis
Bayesian Segregation Analysis is a statistical method for inferring inheritance patterns of traits within families by applying Bayesian inference to combine observed pedigree data with prior distributions on genetic parameters, thereby distinguishing it from classical segregation analysis through its probabilistic integration of uncertainty and prior knowledge.
25
Publications
1.1K
Citations
92
Authors
60
Institutions
Publications per year
2017–2026
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1–5 of 25
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60
University of Washington
Seattle, United States
5 h-index
13 publications
665 citations
National Center for Cool and Cold Water Aquaculture
Martinsburg, United States
2 h-index
11 publications
267 citations

Aarhus University
Aarhus, Denmark
2 h-index
2 publications
48 citations

University of Washington Medical Center
Seattle, United States
2 h-index
5 publications
326 citations
Case Western Reserve University
Cleveland, United States
2 h-index
2 publications
28 citations
The University of Texas MD Anderson Cancer Center
Houston, United States
2 h-index
5 publications
97 citations

Johns Hopkins University
Baltimore, United States
2 h-index
3 publications
84 citations
Duke University
Durham, United States
2 h-index
3 publications
73 citations
1–8 of 60
3 publications · 66 citations
3
h-index
2 publications · 38 citations
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2 publications · 60 citations
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2 publications · 34 citations
2
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1 publications · 11 citations
1
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1–5