Learning hierarchical Bayesian networks for genome-wide association studies

Proceedings of COMPSTAT 2010 - 19th International Conference on Computational Statistics, Keynote, Invited and Contributed Papers

Volumn , Issue , 2010, Pages 549-556

  Mourad, Raphaël ^a   Sinoquet, Christine ^a   Leray, Philippe ^a  

^a UNIVERSITÉ DE NANTES   (France)

Author keywords

Bayesian networks; Data dimensionality reduction; Genetic marker dependency modelling; Hierarchical latent class model

Indexed keywords

COMPUTER PROGRAMMING; DIMENSIONALITY REDUCTION; FORESTRY; GENES; GENETIC ALGORITHMS; PROBABILITY DISTRIBUTIONS;

DATA DIMENSIONALITY REDUCTION; DEPENDENCY MODELLING; GENERIC ALGORITHM; GENOME-WIDE ASSOCIATION STUDIES; HIERARCHICAL BAYESIAN NETWORKS; HIERARCHICAL LATENT CLASS MODELS; PROBABILISTIC GRAPHICAL MODELS; STATISTICAL DEPENDENCIES;

BAYESIAN NETWORKS;

EID: 84861977502     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-7908-2604-3_56     Document Type: Conference Paper

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