Bayesian hierarchical model for identifying changes in gene expression from microarray experiments

Journal of Computational Biology

Volumn 9, Issue 4, 2002, Pages 671-683

  Broût, Philippe ^a   Richardson, Sylvia ^b   Radvanyi, FranÇois ^c  

^a UNIVERSITÉ PARIS SACLAY   (France)

^b IMPERIAL COLLEGE LONDON   (United Kingdom)

^c CNRS   (France)

Author keywords

Bayesian hierarchical model; DNA microarrays; Gene expression analysis; Markov chain Monte Carlo methods; Normal mixtures

Indexed keywords

ARTICLE; BAYES THEOREM; BIOTECHNOLOGY; DNA MICROARRAY; GENE EXPRESSION; GENE IDENTIFICATION; GENE TARGETING; GENETIC TRANSFECTION; HUMAN; METHODOLOGY; NONHUMAN; PRIORITY JOURNAL; PROTEIN EXPRESSION; SAMPLING;

BAYES THEOREM; DATA INTERPRETATION, STATISTICAL; GENE EXPRESSION PROFILING; HUMANS; MODELS, GENETIC; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; TUMOR CELLS, CULTURED;

EID: 0036401627     PISSN: 10665277     EISSN: None     Source Type: Journal    
DOI: 10.1089/106652702760277381     Document Type: Article

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