Menu

Filtros : "Universidade Federal da Grande Dourados (UFGD)" "ICMC" Removidos: "REVISÃO SISTEMÁTICA" "Israel" "1975" Limpar

Filtros

Refine with date range

  • 1

1 - 3 (3 records)

  • Artigo de periodico

    The Visual SuperTree: similarity-based multi-scale visualization (2019)

    Silva, Renato R. O. da; Paiva, José Gustavo S; Telles, Guilherme Pimentel; Zampieri, Carlos E. A; Rolli, Fabio P; Minghim, Rosane

    Source: Visual Computer. Unidade: ICMC

    Subjects: MINERAÇÃO DE DADOS, RECUPERAÇÃO DA INFORMAÇÃO, VISUALIZAÇÃO

    Acesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      SILVA, Renato R. O. da et al. The Visual SuperTree: similarity-based multi-scale visualization. Visual Computer, v. 35, n. 6-8, p. 1067-1080, 2019Tradução . . Disponível em: https://doi.org/10.1007/s00371-019-01696-5. Acesso em: 12 nov. 2024.

    • APA

      Silva, R. R. O. da, Paiva, J. G. S., Telles, G. P., Zampieri, C. E. A., Rolli, F. P., & Minghim, R. (2019). The Visual SuperTree: similarity-based multi-scale visualization. Visual Computer, 35( 6-8), 1067-1080. doi:10.1007/s00371-019-01696-5

    • NLM

      Silva RRO da, Paiva JGS, Telles GP, Zampieri CEA, Rolli FP, Minghim R. The Visual SuperTree: similarity-based multi-scale visualization [Internet]. Visual Computer. 2019 ; 35( 6-8): 1067-1080.[citado 2024 nov. 12 ] Available from: https://doi.org/10.1007/s00371-019-01696-5

    • Vancouver

      Silva RRO da, Paiva JGS, Telles GP, Zampieri CEA, Rolli FP, Minghim R. The Visual SuperTree: similarity-based multi-scale visualization [Internet]. Visual Computer. 2019 ; 35( 6-8): 1067-1080.[citado 2024 nov. 12 ] Available from: https://doi.org/10.1007/s00371-019-01696-5

  • Artigo de periodico

    A predictive Bayes factor approach to identify genes differentially expressed: an application to Escherichia coli bacterium data (2014)

    Louzada, Francisco ; Saraiva, Erlandson F; Milan, Luis; Cobre, Juliana

    Source: Brazilian Journal of Probability and Statistics. Unidade: ICMC

    Assunto: INFERÊNCIA BAYESIANA

    Acesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • 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: 12 nov. 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 nov. 12 ] 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 nov. 12 ] Available from: https://doi.org/10.1214/12-bjps200

  • Artigo de periodico

    A Bayesian approach for decision making on the identification of genes with different expression levels: an application to Escherichia coli Bacterium data (2012)

    Saraiva, Erlandson F.; Louzada, Francisco ; Milan, Luis A.; Meira, Silvana; Cobre, Juliana

    Source: Computational and Mathematical Methods in Medicine. Unidade: ICMC

    Subjects: ESTATÍSTICA APLICADA, INFERÊNCIA BAYESIANA, INFERÊNCIA ESTATÍSTICA

    Acesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      SARAIVA, Erlandson F. et al. A Bayesian approach for decision making on the identification of genes with different expression levels: an application to Escherichia coli Bacterium data. Computational and Mathematical Methods in Medicine, v. 2012, p. 953086-953098, 2012Tradução . . Disponível em: https://doi.org/10.1155/2012/953086. Acesso em: 12 nov. 2024.

    • APA

      Saraiva, E. F., Louzada, F., Milan, L. A., Meira, S., & Cobre, J. (2012). A Bayesian approach for decision making on the identification of genes with different expression levels: an application to Escherichia coli Bacterium data. Computational and Mathematical Methods in Medicine, 2012, 953086-953098. doi:10.1155/2012/953086

    • NLM

      Saraiva EF, Louzada F, Milan LA, Meira S, Cobre J. A Bayesian approach for decision making on the identification of genes with different expression levels: an application to Escherichia coli Bacterium data [Internet]. Computational and Mathematical Methods in Medicine. 2012 ; 2012 953086-953098.[citado 2024 nov. 12 ] Available from: https://doi.org/10.1155/2012/953086

    • Vancouver

      Saraiva EF, Louzada F, Milan LA, Meira S, Cobre J. A Bayesian approach for decision making on the identification of genes with different expression levels: an application to Escherichia coli Bacterium data [Internet]. Computational and Mathematical Methods in Medicine. 2012 ; 2012 953086-953098.[citado 2024 nov. 12 ] Available from: https://doi.org/10.1155/2012/953086
  • 1

1 - 3 (3 records)

Digital Library of Intellectual Production of Universidade de São Paulo     2012 - 2024