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A Bayesian decision procedure for testing multiple hypotheses in DNA microarray experiments.
Stat Appl Genet Mol Biol ; 13(1): 49-65, 2014 Feb.
Article em En | MEDLINE | ID: mdl-24317791
ABSTRACT
DNA microarray experiments require the use of multiple hypothesis testing procedures because thousands of hypotheses are simultaneously tested. We deal with this problem from a Bayesian decision theory perspective. We propose a decision criterion based on an estimation of the number of false null hypotheses (FNH), taking as an error measure the proportion of the posterior expected number of false positives with respect to the estimated number of true null hypotheses. The methodology is applied to a Gaussian model when testing bilateral hypotheses. The procedure is illustrated with both simulated and real data examples and the results are compared to those obtained by the Bayes rule when an additive loss function is considered for each joint action and the generalized loss 0-1 function for each individual action. Our procedure significantly reduced the percentage of false negatives whereas the percentage of false positives remains at an acceptable level.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Análise de Sequência com Séries de Oligonucleotídeos / Perfilação da Expressão Gênica Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2014 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Análise de Sequência com Séries de Oligonucleotídeos / Perfilação da Expressão Gênica Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2014 Tipo de documento: Article