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A Bayesian Approach to Detect Quantitative Trait Loci Using Markov Chain Monte Carlo

Markov chain Monte Carlo (MCMC) techniques are applied to simultaneously identify multiple quantitative trait loci (QTL) and the magnitude of their effects. Using a Bayesian approach a multi-locus model is fit to quantitative trait and molecular marker data, instead of fitting one locus at a time. T...

詳細記述

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書誌詳細
主要な著者: Satagopan, J. M., Yandell, B. S., Newton, M. A., Osborn, T. C.
フォーマット: Artigo
言語:Inglês
出版事項: 1996
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC1207571/
https://ncbi.nlm.nih.gov/pubmed/8889541
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