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A hybrid expectation maximisation and MCMC sampling algorithm to implement Bayesian mixture model based genomic prediction and QTL mapping

BACKGROUND: Bayesian mixture models in which the effects of SNP are assumed to come from normal distributions with different variances are attractive for simultaneous genomic prediction and QTL mapping. These models are usually implemented with Monte Carlo Markov Chain (MCMC) sampling, which require...

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שמור ב:
מידע ביבליוגרפי
הוצא לאור ב:BMC Genomics
Main Authors: Wang, Tingting, Chen, Yi-Ping Phoebe, Bowman, Phil J., Goddard, Michael E., Hayes, Ben J.
פורמט: Artigo
שפה:Inglês
יצא לאור: BioMed Central 2016
נושאים:
גישה מקוונת:https://ncbi.nlm.nih.gov/pmc/articles/PMC5031345/
https://ncbi.nlm.nih.gov/pubmed/27654580
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12864-016-3082-7
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