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Performance of Markov Chain–Monte Carlo Approaches for Mapping Genes in Oligogenic Models with an Unknown Number of Loci

Markov chain–Monte Carlo (MCMC) techniques for multipoint mapping of quantitative trait loci have been developed on nuclear-family and extended-pedigree data. These methods are based on repeated sampling—peeling and gene dropping of genotype vectors and random sampling of each of the model parameter...

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Autori principali: Lee, Jae K., Thomas, Duncan C.
Natura: Artigo
Lingua:Inglês
Pubblicazione: The American Society of Human Genetics 2000
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Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC1288565/
https://ncbi.nlm.nih.gov/pubmed/11032787
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