Hierarchical Naive Bayes for genetic association studies

BMC Bioinformatics

Volumn 13, Issue SUPPL 1, 2012, Pages

  Malovini, Alberto ^a,b   Barbarini, Nicola ^a   Bellazzi, Riccardo ^a   De Michelis, Francesca ^c  

^a UNIVERSITY OF PAVIA   (Italy)

^b IRCCS   (Italy)

^c WEILL CORNELL MEDICAL COLLEGE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BAYES CLASSIFICATION; CLASSIFICATION PERFORMANCE; CONDITIONAL PROBABILITY DISTRIBUTIONS; GENETIC INFORMATION; GENOME-WIDE ASSOCIATION STUDIES; LINKAGE DISEQUILIBRIUM; MOLECULAR MECHANISM; SIMULATED DATASETS;

COMPUTER SIMULATION; EQUIVALENCE CLASSES; GENES; PROBABILITY DISTRIBUTIONS;

CLASSIFICATION (OF INFORMATION);

ARTICLE; BAYES THEOREM; BIOLOGICAL MODEL; CASE CONTROL STUDY; COMPUTER SIMULATION; GENE LINKAGE DISEQUILIBRIUM; GENETIC ASSOCIATION; GENETICS; HUMAN; INSULIN DEPENDENT DIABETES MELLITUS; NON INSULIN DEPENDENT DIABETES MELLITUS; SINGLE NUCLEOTIDE POLYMORPHISM;

BAYES THEOREM; CASE-CONTROL STUDIES; COMPUTER SIMULATION; DIABETES MELLITUS, TYPE 1; DIABETES MELLITUS, TYPE 2; GENOME-WIDE ASSOCIATION STUDY; HUMANS; LINKAGE DISEQUILIBRIUM; MODELS, GENETIC; POLYMORPHISM, SINGLE NUCLEOTIDE;

EID: 84875026568     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-13-S14-S6     Document Type: Article

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