A Bayesian Regression Model with Variable Selection for Genome-Wide Association Studies

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A Bayesian Regression Model with Variable Selection for Genome-Wide Association Studies

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wetenschappelijk artikel

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наукова стаття, опублікована в жовтні 2012

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A Bayesian Regression Model with Variable Selection for Genome-Wide Association Studies

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A Bayesian Regression Model with Variable Selection for Genome-Wide Association Studies

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A Bayesian Regression Model with Variable Selection for Genome-Wide Association Studies

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A Bayesian Regression Model with Variable Selection for Genome-Wide Association Studies

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A Bayesian Regression Model with Variable Selection for Genome-Wide Association Studies

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A Bayesian Regression Model with Variable Selection for Genome-Wide Association Studies

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P1476

A Bayesian Regression Model with Variable Selection for Genome-Wide Association Studies

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P2093

Carla Chen

http://www.w3.org/2001/XMLSchema#string

Jonathan M. Keith

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Katja Ickstadt

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Kerrie L. Mengersen

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P2860

Reversible jump Markov chain Monte Carlo computation and Bayesian model determination

Slice sampling

Bayesian perspectives on multiple comparisons

Simultaneous analysis of all SNPs in genome-wide and re-sequencing association studies

An integrated haplotype map of the human major histocompatibility complex.

Bayesian model selection for genome-wide epistatic quantitative trait loci analysis.

Genomewide analysis of epistatic effects for quantitative traits in barley.

A high-resolution HLA and SNP haplotype map for disease association studies in the extended human MHC.

Variable selection in logistic regression for detecting SNP-SNP interactions: the rheumatoid arthritis example.

An empirical Bayes method for estimating epistatic effects of quantitative trait loci.

P304

103-117

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P31

scholarly article

P356

10.1002/9781118394472.CH6

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P577

2012-10-30T00:00:00Z

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P921

genome-wide association study