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Estimation of Quantitative Trait Locus Effects with Epistasis by Variational Bayes Algorithms
Bayesian hierarchical shrinkage methods have been widely used for quantitative trait locus mapping. From the computational perspective, the application of the Markov chain Monte Carlo (MCMC) method is not optimal for high-dimensional problems such as the ones arising in epistatic analysis. Maximum a...
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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: |
Genetics Society of America
2012
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3249367/ https://ncbi.nlm.nih.gov/pubmed/22042575 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1534/genetics.111.134866 |
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