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Population genetics / Genetic genealogy / Haplotype / Dirichlet process / Mixture model / Expectation–maximization algorithm / Gibbs sampling / Dirichlet distribution / Hardy–Weinberg principle / Statistics / Genetics / Classical genetics


Bayesian Haplotype Inference via the Dirichlet Process Eric Xing† [removed] Roded Sharan† [removed]
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Document Date: 2008-12-01 11:20:48

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City

Report / Risch / Banff / /

Company

Donnelly / Monte Carlo / Stephens / S. L. & Sheehan N. A. / /

Country

Canada / /

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Event

Company Expansion / /

Facility

Aalborg University / Columbia University / University of California / /

IndustryTerm

inference algorithm / homozygous site / important applications / heterozygous site / /

MarketIndex

SET 100 / /

Organization

Computer Science Division / Columbia University / National Science Foundation / American Statistical Association / Aalborg University / Department of Statistics / University of California / Berkeley / /

Person

Ak / Greenspan / Gi / Michael I. Jordan / /

Position

model for haplotype inference / model / including the latent ancestral pool / noisy observation model for the genotypes / /

Product

Markov / /

ProvinceOrState

New Jersey / California / /

PublishedMedium

Nature Genetics / American Journal of Human Genetics / Molecular Biology and Evolution / Machine Learning / Journal of the American Statistical Association / /

Technology

resulting inference algorithm / Bioinformatics / Metropolis-Hasting sampling algorithm / SNP / PHASE algorithm / Machine Learning / genotyping / genotype / recombination / EM algorithm / human genome / phasing algorithm / Gibbs sampling algorithm / /

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