Multivariate hierarchical Bayesian model for differential gene expression analysis in microarray experiments

BMC Bioinformatics

Volumn 9, Issue SUPPL. 1, 2008, Pages

  Zhao, Hongya ^a   Chan, Kwok Leung ^a   Cheng, Lee Ming ^a   Yan, Hong ^a,b  

^a CITY UNIVERSITY OF HONG KONG   (Hong Kong)

^b UNIVERSITY OF SYDNEY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN HIERARCHICAL MODEL; DIFFERENTIAL GENE EXPRESSIONS; GENE EXPRESSION PATTERNS; GENERALIZED LIKELIHOOD-RATIO TESTS; HIERARCHICAL BAYESIAN MODELING; IDENTIFICATION OF DIFFERENTIALLY EXPRESSED GENES; MULTI-VARIATE NORMAL DISTRIBUTIONS; OPERATING CHARACTERISTICS; BAYESIAN FRAMEWORKS; BAYESIAN MODEL; BIOLOGICAL INFORMATION; CONJUGATE PRIOR; CONSTANT COEFFICIENTS; CORRELATION COEFFICIENT; COVARIANCE STRUCTURES; DIFFERENTIALLY EXPRESSED GENE; FALSE DISCOVERY RATE; FLUORESCENT SIGNALS; GENE EXPRESSION DATA; GENE SPOTS; HIERARCHICAL BAYESIAN; HIERARCHICAL BAYESIAN MODELS; MEAN VECTOR; MICROARRAY ANALYSIS; MICROARRAY DATA; MICROARRAY EXPERIMENTS; MULTIVARIATE NORMAL DISTRIBUTIONS; PARAMETERIZED; SIMULATION STUDIES; UNIVARIATE;

EXPERIMENTS; GENE EXPRESSION; HIERARCHICAL SYSTEMS; NORMAL DISTRIBUTION; BAYESIAN NETWORKS;

BAYESIAN NETWORKS; BIOINFORMATICS;

ARTICLE; BAYES THEOREM; CONTROLLED STUDY; CORRELATION COEFFICIENT; COVARIANCE; GENE EXPRESSION; GENETIC ANALYSIS; INTERMETHOD COMPARISON; MATHEMATICAL COMPUTING; MICROARRAY ANALYSIS; MULTIVARIATE ANALYSIS; NORMAL DISTRIBUTION; SIMULATION; UNIVARIATE ANALYSIS; ALGORITHM; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; COMPUTER SIMULATION; DNA MICROARRAY; EVALUATION; GENE EXPRESSION PROFILING; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BAYES THEOREM; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; GENE EXPRESSION PROFILING; MODELS, GENETIC; MULTIVARIATE ANALYSIS; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84872000854     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-9-S1-S9     Document Type: Article

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