Pedigree Graph Modeling
Pedigree Graph Modeling is a formal computational framework that represents familial relationships and genetic inheritance patterns as a directed acyclic graph, where nodes denote individuals and edges encode parent-offspring lineage to enable structured integration and analysis of pedigree data.
10
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1.9K
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24
Authors
17
Institutions
Publications per year
2017–2026
0
10
Probability functions on complex pedigrees
C. Cannings, E. A. Thompson, Mark H. Skolnick · Advances in Applied Probability · 1978 · 406 citations
Life Sciences, Genetics, Mathematics +17
Probability functions on complex pedigrees
C. Cannings, E. A. Thompson, Mark H. Skolnick · Advances in Applied Probability · 1978 · 49 citations
Life Sciences, Genetics, Mathematics +17
Genetic analysis by means of diallel graph
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University of Cambridge
Cambridge, United Kingdom
2 h-index
2 publications
455 citations
University of Utah
Salt Lake City, United States
2 h-index
2 publications
455 citations
University of Sheffield
Sheffield, United Kingdom
2 h-index
2 publications
455 citations
Hawaii Department of Health
Honolulu, United States
1 h-index
1 publications
22 citations
NOAA National Marine Fisheries Service
Silver Spring, United States
1 h-index
1 publications
13 citations
NOAA National Marine Fisheries Service Southwest Fisheries Science Center
La Jolla, United States
1 h-index
1 publications
13 citations
Aalborg University
Aalborg, Denmark
1 h-index
1 publications
80 citations

University of Saskatchewan
Saskatoon, Canada
1 h-index
1 publications
34 citations
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Repository · 2 publications · 1.2K citations
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AAP · 2 publications · 455 citations
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TPB · 1 publications · 13 citations
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1 publications · 23 citations
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1 publications · 34 citations
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