Filtros : "IME" "Fujita, André" "2012" Removidos: "GONCALVES, JAIRO ZACARIAS" "Universidade Federal do ABC - Santo André, SP" "Dissertação (Mestrado)" "Collaboration and Technology - International Conference, 18, CRIWG 2012 Raesfeld, Germany" Limpar

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  • Source: BMC Genomics. Unidade: IME

    Assunto: GENOMAS

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    • ABNT

      KOJIMA, Kaname et al. Identifying regulational alterations in gene regulatory networks by state space representation of vector autoregressive models and variational annealing. BMC Genomics, v. 13, p. 1-14, 2012Tradução . . Disponível em: https://doi.org/10.1186/1471-2164-13-S1-S6. Acesso em: 02 jul. 2024.
    • APA

      Kojima, K., Imoto, S., Yamaguchi, R., Fujita, A., Yamaouchi, M., Gotoh, N., & Miyano, S. (2012). Identifying regulational alterations in gene regulatory networks by state space representation of vector autoregressive models and variational annealing. BMC Genomics, 13, 1-14. doi:10.1186/1471-2164-13-S1-S6
    • NLM

      Kojima K, Imoto S, Yamaguchi R, Fujita A, Yamaouchi M, Gotoh N, Miyano S. Identifying regulational alterations in gene regulatory networks by state space representation of vector autoregressive models and variational annealing [Internet]. BMC Genomics. 2012 ; 13 1-14.[citado 2024 jul. 02 ] Available from: https://doi.org/10.1186/1471-2164-13-S1-S6
    • Vancouver

      Kojima K, Imoto S, Yamaguchi R, Fujita A, Yamaouchi M, Gotoh N, Miyano S. Identifying regulational alterations in gene regulatory networks by state space representation of vector autoregressive models and variational annealing [Internet]. BMC Genomics. 2012 ; 13 1-14.[citado 2024 jul. 02 ] Available from: https://doi.org/10.1186/1471-2164-13-S1-S6
  • Source: BMC Systems Biology. Unidade: IME

    Subjects: BIOQUÍMICA, ANÁLISE DE DADOS

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    • ABNT

      FUJITA, André et al. Functional clustering of time series gene expression data by Granger causality. BMC Systems Biology, v. 6, n. 137, p. 1-12, 2012Tradução . . Disponível em: https://doi.org/10.1186/1752-0509-6-137. Acesso em: 02 jul. 2024.
    • APA

      Fujita, A., Severino, P., Kaname, K., Sato, J. R., Patriota, A. G., & Miyano, S. (2012). Functional clustering of time series gene expression data by Granger causality. BMC Systems Biology, 6( 137), 1-12. doi:10.1186/1752-0509-6-137
    • NLM

      Fujita A, Severino P, Kaname K, Sato JR, Patriota AG, Miyano S. Functional clustering of time series gene expression data by Granger causality [Internet]. BMC Systems Biology. 2012 ; 6( 137): 1-12.[citado 2024 jul. 02 ] Available from: https://doi.org/10.1186/1752-0509-6-137
    • Vancouver

      Fujita A, Severino P, Kaname K, Sato JR, Patriota AG, Miyano S. Functional clustering of time series gene expression data by Granger causality [Internet]. BMC Systems Biology. 2012 ; 6( 137): 1-12.[citado 2024 jul. 02 ] Available from: https://doi.org/10.1186/1752-0509-6-137
  • Source: Frontiers in Systems Neuroscience. Unidade: IME

    Assunto: PROCESSAMENTO DE IMAGENS

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      SATO, João Ricardo et al. Evaluation of pattern recognition and feature extraction methods in ADHD prediction. Frontiers in Systems Neuroscience, v. 6, p. 1-14, 2012Tradução . . Disponível em: https://doi.org/10.3389/fnsys.2012.00068. Acesso em: 02 jul. 2024.
    • APA

      Sato, J. R., Hoexter, M. Q., Fujita, A., & Rohde, L. A. (2012). Evaluation of pattern recognition and feature extraction methods in ADHD prediction. Frontiers in Systems Neuroscience, 6, 1-14. doi:10.3389/fnsys.2012.00068
    • NLM

      Sato JR, Hoexter MQ, Fujita A, Rohde LA. Evaluation of pattern recognition and feature extraction methods in ADHD prediction [Internet]. Frontiers in Systems Neuroscience. 2012 ; 6 1-14.[citado 2024 jul. 02 ] Available from: https://doi.org/10.3389/fnsys.2012.00068
    • Vancouver

      Sato JR, Hoexter MQ, Fujita A, Rohde LA. Evaluation of pattern recognition and feature extraction methods in ADHD prediction [Internet]. Frontiers in Systems Neuroscience. 2012 ; 6 1-14.[citado 2024 jul. 02 ] Available from: https://doi.org/10.3389/fnsys.2012.00068
  • Source: PLOS ONE. Unidade: IME

    Assunto: COMBINATÓRIA

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      TAKAHASHI, Daniel Yasumasa et al. Discriminating different classes of biological networks by analyzing the graphs spectra distribution. PLOS ONE, v. 7, n. 12, p. 1-12, 2012Tradução . . Disponível em: https://doi.org/10.1371/journal.pone.0049949. Acesso em: 02 jul. 2024.
    • APA

      Takahashi, D. Y., Sato, J. R., Ferreira, C. E., & Fujita, A. (2012). Discriminating different classes of biological networks by analyzing the graphs spectra distribution. PLOS ONE, 7( 12), 1-12. doi:10.1371/journal.pone.0049949
    • NLM

      Takahashi DY, Sato JR, Ferreira CE, Fujita A. Discriminating different classes of biological networks by analyzing the graphs spectra distribution [Internet]. PLOS ONE. 2012 ; 7( 12): 1-12.[citado 2024 jul. 02 ] Available from: https://doi.org/10.1371/journal.pone.0049949
    • Vancouver

      Takahashi DY, Sato JR, Ferreira CE, Fujita A. Discriminating different classes of biological networks by analyzing the graphs spectra distribution [Internet]. PLOS ONE. 2012 ; 7( 12): 1-12.[citado 2024 jul. 02 ] Available from: https://doi.org/10.1371/journal.pone.0049949

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