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Filtros : "Bioinformatics" "FUJITA, ANDRÉ" Limpar

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  • Artigo de periodico

    XiP: a computational environment to create, extend and share workflows (2013)

    Nagasaki, Masao ; Fujita, André ; Sekiya, Yayoi; Saito, Ayumu ; Ikeda, Emi; Li, Chen; Miyano, Satoru

    Source: Bioinformatics. Unidade: IME

    Assunto: PROGRAMAÇÃO INTEIRA E FLUXOS EM REDE

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

    • ABNT

      NAGASAKI, Masao et al. XiP: a computational environment to create, extend and share workflows. Bioinformatics, v. 29, n. 1, p. 137-139, 2013Tradução . . Disponível em: https://doi.org/10.1093/bioinformatics/bts630. Acesso em: 08 nov. 2025.

    • APA

      Nagasaki, M., Fujita, A., Sekiya, Y., Saito, A., Ikeda, E., Li, C., & Miyano, S. (2013). XiP: a computational environment to create, extend and share workflows. Bioinformatics, 29( 1), 137-139. doi:10.1093/bioinformatics/bts630

    • NLM

      Nagasaki M, Fujita A, Sekiya Y, Saito A, Ikeda E, Li C, Miyano S. XiP: a computational environment to create, extend and share workflows [Internet]. Bioinformatics. 2013 ; 29( 1): 137-139.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1093/bioinformatics/bts630

    • Vancouver

      Nagasaki M, Fujita A, Sekiya Y, Saito A, Ikeda E, Li C, Miyano S. XiP: a computational environment to create, extend and share workflows [Internet]. Bioinformatics. 2013 ; 29( 1): 137-139.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1093/bioinformatics/bts630

  • Artigo de periodico

    Systems biology model repository for macrophage pathway simulation (2011)

    Nagasawa, Masao; Saito, Ayumu ; Fujita, André ; Tremmel, Georg ; Ueno, Kazuko ; Ikeda, Emi; Jeong, Euna ; Miyano, Satoru

    Source: Bioinformatics. Unidade: IME

    Assunto: BIOINFORMÁTICA

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

    • ABNT

      NAGASAWA, Masao et al. Systems biology model repository for macrophage pathway simulation. Bioinformatics, v. 27, n. 11, p. 1591-1593, 2011Tradução . . Disponível em: https://doi.org/10.1093/bioinformatics/btr173. Acesso em: 08 nov. 2025.

    • APA

      Nagasawa, M., Saito, A., Fujita, A., Tremmel, G., Ueno, K., Ikeda, E., et al. (2011). Systems biology model repository for macrophage pathway simulation. Bioinformatics, 27( 11), 1591-1593. doi:10.1093/bioinformatics/btr173

    • NLM

      Nagasawa M, Saito A, Fujita A, Tremmel G, Ueno K, Ikeda E, Jeong E, Miyano S. Systems biology model repository for macrophage pathway simulation [Internet]. Bioinformatics. 2011 ; 27( 11): 1591-1593.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1093/bioinformatics/btr173

    • Vancouver

      Nagasawa M, Saito A, Fujita A, Tremmel G, Ueno K, Ikeda E, Jeong E, Miyano S. Systems biology model repository for macrophage pathway simulation [Internet]. Bioinformatics. 2011 ; 27( 11): 1591-1593.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1093/bioinformatics/btr173

  • Artigo de periodico

    Time-varying modeling of gene expression regulatory networks using the wavelet dynamic vector autoregressive method (2007)

    Fujita, André ; Sato, João Ricardo ; Garay-Malpartida, Humberto Miguel ; Morettin, Pedro Alberto ; Sogayar, Mari Cleide ; Ferreira, Carlos Eduardo

    Source: Bioinformatics. Unidades: IME, IQ, Interunidades em Bioinformática

    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. Time-varying modeling of gene expression regulatory networks using the wavelet dynamic vector autoregressive method. Bioinformatics, v. 23, n. 13, p. 1623-1630, 2007Tradução . . Disponível em: https://doi.org/10.1093/bioinformatics/btm151. Acesso em: 08 nov. 2025.

    • APA

      Fujita, A., Sato, J. R., Garay-Malpartida, H. M., Morettin, P. A., Sogayar, M. C., & Ferreira, C. E. (2007). Time-varying modeling of gene expression regulatory networks using the wavelet dynamic vector autoregressive method. Bioinformatics, 23( 13), 1623-1630. doi:10.1093/bioinformatics/btm151

    • NLM

      Fujita A, Sato JR, Garay-Malpartida HM, Morettin PA, Sogayar MC, Ferreira CE. Time-varying modeling of gene expression regulatory networks using the wavelet dynamic vector autoregressive method [Internet]. Bioinformatics. 2007 ; 23( 13): 1623-1630.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1093/bioinformatics/btm151

    • Vancouver

      Fujita A, Sato JR, Garay-Malpartida HM, Morettin PA, Sogayar MC, Ferreira CE. Time-varying modeling of gene expression regulatory networks using the wavelet dynamic vector autoregressive method [Internet]. Bioinformatics. 2007 ; 23( 13): 1623-1630.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1093/bioinformatics/btm151
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