A predictive Bayes factor approach to identify genes differentially expressed: an application to Escherichia coli bacterium data (2014)
- Authors:
- USP affiliated authors: LOUZADA NETO, FRANCISCO - ICMC ; COBRE, JULIANA - ICMC
- Unidade: ICMC
- DOI: 10.1214/12-bjps200
- Assunto: INFERÊNCIA BAYESIANA
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Brazilian Journal of Probability and Statistics
- ISSN: 0103-0752
- Volume/Número/Paginação/Ano: v. 28, n. 2, p. 167-189, 2014
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: hybrid
- Licença: unspecified-oa
-
ABNT
LOUZADA, Francisco et al. A predictive Bayes factor approach to identify genes differentially expressed: an application to Escherichia coli bacterium data. Brazilian Journal of Probability and Statistics, v. 28, n. 2, p. 167-189, 2014Tradução . . Disponível em: https://doi.org/10.1214/12-bjps200. Acesso em: 30 set. 2024. -
APA
Louzada, F., Saraiva, E. F., Milan, L., & Cobre, J. (2014). A predictive Bayes factor approach to identify genes differentially expressed: an application to Escherichia coli bacterium data. Brazilian Journal of Probability and Statistics, 28( 2), 167-189. doi:10.1214/12-bjps200 -
NLM
Louzada F, Saraiva EF, Milan L, Cobre J. A predictive Bayes factor approach to identify genes differentially expressed: an application to Escherichia coli bacterium data [Internet]. Brazilian Journal of Probability and Statistics. 2014 ; 28( 2): 167-189.[citado 2024 set. 30 ] Available from: https://doi.org/10.1214/12-bjps200 -
Vancouver
Louzada F, Saraiva EF, Milan L, Cobre J. A predictive Bayes factor approach to identify genes differentially expressed: an application to Escherichia coli bacterium data [Internet]. Brazilian Journal of Probability and Statistics. 2014 ; 28( 2): 167-189.[citado 2024 set. 30 ] Available from: https://doi.org/10.1214/12-bjps200 - A multiple time scale survival model with a cure fraction
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Informações sobre o DOI: 10.1214/12-bjps200 (Fonte: oaDOI API)
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