Article Dans Une Revue BMC Bioinformatics Année : 2011

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

Résumé

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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hal-00567988 , version 1 (26-05-2025)

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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, 2011, 12 (1), pp.16. ⟨10.1186/1471-2105-12-16⟩. ⟨hal-00567988⟩
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