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Bayesian multi-population haplotype inference via a hierarchical dirichlet process mixture. from www.stats.ox.ac.uk
Abstract. Uncovering the haplotypes of single nu- cleotide polymorphisms and their population demography is essential for many biological.
Abstract. Uncovering the haplotypes of single nu- cleotide polymorphisms and their population demography is essential for many biological.
Uncovering the haplotypes of single nucleotide polymorphisms and their population demography is essential for many biological and medical applications.
Jun 25, 2006 · We capture cross-population structure using a nonparametric Bayesian prior known as the hierarchical Dirichlet process (HDP) (Teh et al., 2006), ...
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In this paper we present a hierarchical nonparametric Bayesian model to address this problem in the context of multi-population haplotype inference.
In this paper we present a hierarchical nonparametric Bayesian model to address this problem in the context of multi-population haplotype inference.
Dec 26, 2008 · In this paper we present a hierarchical nonparametric Bayesian model to address this problem in the context of multi-population haplotype ...
Bayesian multi-population haplotype inference via a hierarchical dirichlet process mixture. from www.slideserve.com
Aug 9, 2014 · Bayesian Multi-Population Haplotype Inference via a Hierarchical Dirichlet Process Mixture. Paper by E. Xing, K. Sohn, M. Jordan and Y. Teh, ...
A new haplotype inference program, Haploi, is presented, which makes use of such information and is readily applicable to genotype sequences with thousands ...