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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...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Li, Zitong, Sillanpää, Mikko J.
Format: Artigo
Sprache:Inglês
Veröffentlicht: Genetics Society of America 2012
Schlagworte:
Online Zugang: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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