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Filtros : "Japão" "SOGAYAR, MARI CLEIDE" Limpar

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  • Artigo de periodico

    Inferring contagion in regulatory networks (2011)

    Fujita, André ; Sato, João Ricardo ; Demasi, Marcos Angelo Almeida ; Yamaguchi, Rui ; Shimamura, Teppei ; Ferreira, Carlos Eduardo ; Sogayar, Mari Cleide ; Miyano, Satoru

    Source: IEEE/ACM Transactions on Computational Biology and Bioinformatics. Unidades: IME, IQ

    Subjects: REGULAÇÃO GÊNICA, BIOQUÍMICA

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

    • ABNT

      FUJITA, André et al. Inferring contagion in regulatory networks. IEEE/ACM Transactions on Computational Biology and Bioinformatics, v. 8, n. 2, p. 570-576, 2011Tradução . . Disponível em: https://doi.org/10.1109/tcbb.2010.40. Acesso em: 01 out. 2024.

    • APA

      Fujita, A., Sato, J. R., Demasi, M. A. A., Yamaguchi, R., Shimamura, T., Ferreira, C. E., et al. (2011). Inferring contagion in regulatory networks. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 8( 2), 570-576. doi:10.1109/tcbb.2010.40

    • NLM

      Fujita A, Sato JR, Demasi MAA, Yamaguchi R, Shimamura T, Ferreira CE, Sogayar MC, Miyano S. Inferring contagion in regulatory networks [Internet]. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 2011 ; 8( 2): 570-576.[citado 2024 out. 01 ] Available from: https://doi.org/10.1109/tcbb.2010.40

    • Vancouver

      Fujita A, Sato JR, Demasi MAA, Yamaguchi R, Shimamura T, Ferreira CE, Sogayar MC, Miyano S. Inferring contagion in regulatory networks [Internet]. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 2011 ; 8( 2): 570-576.[citado 2024 out. 01 ] Available from: https://doi.org/10.1109/tcbb.2010.40

  • Artigo de periodico

    Comparing Pearson, Spearman and Hoeffding's D measure for gene expression association analysis (2009)

    Fujita, André ; Sato, João Ricardo; Demasi, Marcos Angelo Almeida; Sogayar, Mari Cleide ; Ferreira, Carlos Eduardo ; Miyano, Satoru

    Source: Journal of Bioinformatics and Computational Biology. Unidades: IQ, IME

    Subjects: EXPRESSÃO GÊNICA, BIOQUÍMICA

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

    • ABNT

      FUJITA, André et al. Comparing Pearson, Spearman and Hoeffding's D measure for gene expression association analysis. Journal of Bioinformatics and Computational Biology, v. 7, n. 4, p. 663-684, 2009Tradução . . Disponível em: https://doi.org/10.1142/S0219720009004230. Acesso em: 01 out. 2024.

    • APA

      Fujita, A., Sato, J. R., Demasi, M. A. A., Sogayar, M. C., Ferreira, C. E., & Miyano, S. (2009). Comparing Pearson, Spearman and Hoeffding's D measure for gene expression association analysis. Journal of Bioinformatics and Computational Biology, 7( 4), 663-684. doi:10.1142/S0219720009004230

    • NLM

      Fujita A, Sato JR, Demasi MAA, Sogayar MC, Ferreira CE, Miyano S. Comparing Pearson, Spearman and Hoeffding's D measure for gene expression association analysis [Internet]. Journal of Bioinformatics and Computational Biology. 2009 ; 7( 4): 663-684.[citado 2024 out. 01 ] Available from: https://doi.org/10.1142/S0219720009004230

    • Vancouver

      Fujita A, Sato JR, Demasi MAA, Sogayar MC, Ferreira CE, Miyano S. Comparing Pearson, Spearman and Hoeffding's D measure for gene expression association analysis [Internet]. Journal of Bioinformatics and Computational Biology. 2009 ; 7( 4): 663-684.[citado 2024 out. 01 ] Available from: https://doi.org/10.1142/S0219720009004230

  • Artigo de periodico

    Modeling nonlinear gene regulatory networks from time series gene expression data (2008)

    Fujita, André ; Sato, João Ricardo; Garay-Malpartida, Humberto Miguel; Sogayar, Mari Cleide ; Ferreira, Carlos Eduardo ; Miyano, Satoru

    Source: Journal of Bioinformatics and Computational Biology. Unidades: EACH, IQ, IME

    Subjects: EXPRESSÃO GÊNICA, BIOQUÍMICA

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

    • ABNT

      FUJITA, André et al. Modeling nonlinear gene regulatory networks from time series gene expression data. Journal of Bioinformatics and Computational Biology, v. 6, n. 5, p. 961-979, 2008Tradução . . Disponível em: https://doi.org/10.1142/s0219720008003746. Acesso em: 01 out. 2024.

    • APA

      Fujita, A., Sato, J. R., Garay-Malpartida, H. M., Sogayar, M. C., Ferreira, C. E., & Miyano, S. (2008). Modeling nonlinear gene regulatory networks from time series gene expression data. Journal of Bioinformatics and Computational Biology, 6( 5), 961-979. doi:10.1142/s0219720008003746

    • NLM

      Fujita A, Sato JR, Garay-Malpartida HM, Sogayar MC, Ferreira CE, Miyano S. Modeling nonlinear gene regulatory networks from time series gene expression data [Internet]. Journal of Bioinformatics and Computational Biology. 2008 ; 6( 5): 961-979.[citado 2024 out. 01 ] Available from: https://doi.org/10.1142/s0219720008003746

    • Vancouver

      Fujita A, Sato JR, Garay-Malpartida HM, Sogayar MC, Ferreira CE, Miyano S. Modeling nonlinear gene regulatory networks from time series gene expression data [Internet]. Journal of Bioinformatics and Computational Biology. 2008 ; 6( 5): 961-979.[citado 2024 out. 01 ] Available from: https://doi.org/10.1142/s0219720008003746
  • 1

1 - 3 (3 records)

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