Improved maximum likelihood reconstruction of complex multi-generational pedigrees

DOI10.1016/j.tpb.2014.07.002zbMath1303.92085OpenAlexW2021787741WikidataQ50642806 ScholiaQ50642806MaRDI QIDQ489411

James Cussens, Nuala A. Sheehan, Mark Bartlett

Publication date: 20 January 2015

Published in: Theoretical Population Biology (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/2381/32425

zbMATH Keywords

Bayesian networksconstrained optimisationinteger linear programgenetic marker data

Mathematics Subject Classification ID

Problems related to evolution (92D15) Integer programming (90C10) Genetics and epigenetics (92D10)

Related Items (7)

Exact estimation of multiple directed acyclic graphs ⋮ On the use of dense SNP marker data for the identification of distant relative pairs ⋮ Bayesian pedigree inference with small numbers of single nucleotide polymorphisms via a factor-graph representation ⋮ An information theoretic approach to pedigree reconstruction ⋮ Polyhedral approaches to learning Bayesian networks ⋮ Toward a Multisubject Analysis of Neural Connectivity ⋮ Integer linear programming for the Bayesian network structure learning problem

Uses Software

• FRANz

Cites Work

• A simulated annealing algorithm for maximum likelihood pedigree reconstruction
• Efficient maximum likelihood pedigree reconstruction
• Graphical models for genetic analyses
• Probabilistic Expert Systems for Forensic Inference from Genetic Markers
• On the Application of Markov Chain Monte Carlo Methods to Genetic Analyses on Complex Pedigrees
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