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A hierarchical Bayesian network approach for linkage disequilibrium modeling and data-dimensionality reduction prior to genome-wide association studies.

Abstract : The forest of hierarchical latent class models offers several advantages for genome-wide association studies: accurate modeling of linkage disequilibrium, flexible data dimensionality reduction and biological meaning borne by latent variables.
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https://hal.archives-ouvertes.fr/hal-00567988
Contributor : Raphaël Mourad <>
Submitted on : Tuesday, February 22, 2011 - 2:06:13 PM
Last modification on : Thursday, February 7, 2019 - 3:12:50 PM

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Raphaël Mourad, Christine Sinoquet, Philippe Leray. A hierarchical Bayesian network approach for linkage disequilibrium modeling and data-dimensionality reduction prior to genome-wide association studies.. BMC Bioinformatics, BioMed Central, 2011, 12 (1), pp.16. ⟨10.1186/1471-2105-12-16⟩. ⟨hal-00567988⟩

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