Inference from genome-wide association studies using a novel Markov model

Publisher:
Wiley-Liss
Publication Type:
Journal Article
Citation:
Genetic Epidemiology, 2008, 32 (6), pp. 497 - 504
Issue Date:
2008-01
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In this paper we propose a Bayesian modeling approach to the analysis of genome-wide association studies based on single nucleotide polymorphism (SNP) data. Our latent seed model combines various aspects of k-means clustering, hidden Markov models (HMMs)
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