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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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| 主要な著者: | , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
The American Society of Human Genetics
2000
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC1288565/ https://ncbi.nlm.nih.gov/pubmed/11032787 |
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