A hierarchical Bayesian network approach for linkage disequilibrium modeling and data-dimensionality reduction prior to genome-wide association studies期刊界 All Journals 搜尽天下杂志传播学术成果专业期刊搜索期刊信息化学术搜索

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

Authors:	Rapha?l?Mourad mailto:raphael.mourad@univ-nantes.fr" title=" raphael.mourad@univ-nantes.fr" itemprop=" email" data-track=" click" data-track-action=" Email author" data-track-label=" " >Email author,Christine?Sinoquet mailto:christine.sinoquet@univ-nantes.fr" title=" christine.sinoquet@univ-nantes.fr" itemprop=" email" data-track=" click" data-track-action=" Email author" data-track-label=" " >Email author,Philippe?Leray

Affiliation:	1.LINA, UMR CNRS 6241,Ecole Polytechnique de l'Université de Nantes,Nantes Cedex 3,France;2.LINA, UMR CNRS 6241,Université de Nantes,Nantes Cedex,France

Abstract:	Background Discovering the genetic basis of common genetic diseases in the human genome represents a public health issue. However, the dimensionality of the genetic data (up to 1 million genetic markers) and its complexity make the statistical analysis a challenging task.

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