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A fully Bayesian latent variable model for integrative clustering analysis of multi-type omics data.
Mo, Qianxing; Shen, Ronglai; Guo, Cui; Vannucci, Marina; Chan, Keith S; Hilsenbeck, Susan G.
Afiliação
  • Mo Q; Division of Biostatistics, Dan L. Duncan Cancer Center, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030, USA qmo@bcm.edu.
  • Shen R; Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, 485 Lexington Ave, New York, NY 10017, USA.
  • Guo C; Department of Biostatistics, University of Michigan, 1415 Washington Heights, Ann Arbor, MI 48109, USA.
  • Vannucci M; Department of Statistics, Rice University, 6100 Main Street, Houston, TX 77030, USA.
  • Chan KS; Molecular & Cellular Biology/Scott Department of Urology, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030, USA.
  • Hilsenbeck SG; Division of Biostatistics, Dan L. Duncan Cancer Center, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030, USA.
Biostatistics ; 19(1): 71-86, 2018 01 01.
Article em En | MEDLINE | ID: mdl-28541380
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Modelos Estatísticos / Teorema de Bayes / Genômica / Neoplasias Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2018 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Modelos Estatísticos / Teorema de Bayes / Genômica / Neoplasias Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2018 Tipo de documento: Article