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Bayesian inference with historical data-based informative priors improves detection of differentially expressed genes.
Li, Ben; Sun, Zhaonan; He, Qing; Zhu, Yu; Qin, Zhaohui S.
Afiliação
  • Li B; Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA.
  • Sun Z; Department of Statistics, Purdue University, West Lafayette, IN 47906, USA and.
  • He Q; Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA.
  • Zhu Y; Department of Statistics, Purdue University, West Lafayette, IN 47906, USA and.
  • Qin ZS; Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA, Department of Biomedical Informatics, Emory University School of Medicine, Atlanta, GA 30322, USA.
Bioinformatics ; 32(5): 682-9, 2016 03 01.
Article em En | MEDLINE | ID: mdl-26519502
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Teorema de Bayes Tipo de estudo: Diagnostic_studies / Guideline / Prognostic_studies Idioma: En Ano de publicação: 2016 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Teorema de Bayes Tipo de estudo: Diagnostic_studies / Guideline / Prognostic_studies Idioma: En Ano de publicação: 2016 Tipo de documento: Article