Filtros : "BIOINFORMÁTICA" "Sato, João Ricardo" Limpar

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  • Fonte: Precision medicine for investigators, practitioners and providers. Unidade: IME

    Assuntos: DIAGNÓSTICO POR COMPUTADOR, BIOINFORMÁTICA, PSIQUIATRIA, ENTROPIA

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    • ABNT

      CASTRO GUZMAN, Grover Enrique et al. Network analysis of neuropsychiatry disorders. Precision medicine for investigators, practitioners and providers. Tradução . San Diego: Elsevier, 2020. . Disponível em: https://doi.org/10.1016/B978-0-12-819178-1.00039-3. Acesso em: 16 nov. 2025.
    • APA

      Castro Guzman, G. E., Balardin, J. B., Biazoli Junior, C. E., Sato, J. R., & Fujita, A. (2020). Network analysis of neuropsychiatry disorders. In Precision medicine for investigators, practitioners and providers. San Diego: Elsevier. doi:10.1016/B978-0-12-819178-1.00039-3
    • NLM

      Castro Guzman GE, Balardin JB, Biazoli Junior CE, Sato JR, Fujita A. Network analysis of neuropsychiatry disorders [Internet]. In: Precision medicine for investigators, practitioners and providers. San Diego: Elsevier; 2020. [citado 2025 nov. 16 ] Available from: https://doi.org/10.1016/B978-0-12-819178-1.00039-3
    • Vancouver

      Castro Guzman GE, Balardin JB, Biazoli Junior CE, Sato JR, Fujita A. Network analysis of neuropsychiatry disorders [Internet]. In: Precision medicine for investigators, practitioners and providers. San Diego: Elsevier; 2020. [citado 2025 nov. 16 ] Available from: https://doi.org/10.1016/B978-0-12-819178-1.00039-3
  • Fonte: Frontiers in Systems Neuroscience. Unidade: IME

    Assuntos: TRANSTORNOS COGNITIVOS, BIOINFORMÁTICA

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    • ABNT

      RAMOS, Taiane Coelho et al. Abnormal cortico-cerebellar functional connectivity in autism spectrum disorder. Frontiers in Systems Neuroscience, v. 12, 2019Tradução . . Disponível em: https://doi.org/10.3389/fnsys.2018.00074. Acesso em: 16 nov. 2025.
    • APA

      Ramos, T. C., Balardin, J. B., Sato, J. R., & Fujita, A. (2019). Abnormal cortico-cerebellar functional connectivity in autism spectrum disorder. Frontiers in Systems Neuroscience, 12. doi:10.3389/fnsys.2018.00074
    • NLM

      Ramos TC, Balardin JB, Sato JR, Fujita A. Abnormal cortico-cerebellar functional connectivity in autism spectrum disorder [Internet]. Frontiers in Systems Neuroscience. 2019 ; 12[citado 2025 nov. 16 ] Available from: https://doi.org/10.3389/fnsys.2018.00074
    • Vancouver

      Ramos TC, Balardin JB, Sato JR, Fujita A. Abnormal cortico-cerebellar functional connectivity in autism spectrum disorder [Internet]. Frontiers in Systems Neuroscience. 2019 ; 12[citado 2025 nov. 16 ] Available from: https://doi.org/10.3389/fnsys.2018.00074
  • Fonte: PLOS ONE. Unidade: IME

    Assunto: BIOINFORMÁTICA

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    • ABNT

      GUZMAN, Grover Enrique Castro et al. Identification of alterations associated with age in the clustering structure of functional brain networks. PLOS ONE, v. 13, n. 5 , p. 1-14, 2018Tradução . . Disponível em: https://doi.org/10.1371/journal.pone.0195906. Acesso em: 16 nov. 2025.
    • APA

      Guzman, G. E. C., Sato, J. R., Vidal, M. C., & Fujita, A. (2018). Identification of alterations associated with age in the clustering structure of functional brain networks. PLOS ONE, 13( 5 ), 1-14. doi:10.1371/journal.pone.0195906
    • NLM

      Guzman GEC, Sato JR, Vidal MC, Fujita A. Identification of alterations associated with age in the clustering structure of functional brain networks [Internet]. PLOS ONE. 2018 ; 13( 5 ): 1-14.[citado 2025 nov. 16 ] Available from: https://doi.org/10.1371/journal.pone.0195906
    • Vancouver

      Guzman GEC, Sato JR, Vidal MC, Fujita A. Identification of alterations associated with age in the clustering structure of functional brain networks [Internet]. PLOS ONE. 2018 ; 13( 5 ): 1-14.[citado 2025 nov. 16 ] Available from: https://doi.org/10.1371/journal.pone.0195906
  • Fonte: IEEE - ACM Transactions on Computational Biology and Bioinformatics. Unidade: IME

    Assuntos: BIOINFORMÁTICA, REDES COMPLEXAS, AUTISMO

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    • ABNT

      SATO, João Ricardo et al. Complex network measures in autism spectrum disorders. IEEE - ACM Transactions on Computational Biology and Bioinformatics, v. 15, n. 2, p. 581 - 587, 2018Tradução . . Disponível em: https://doi.org/10.1109/TCBB.2015.2476787. Acesso em: 16 nov. 2025.
    • APA

      Sato, J. R., Vidal, M. C., Santos, S. de S., Massirer, K. B., & Fujita, A. (2018). Complex network measures in autism spectrum disorders. IEEE - ACM Transactions on Computational Biology and Bioinformatics, 15( 2), 581 - 587. doi:10.1109/TCBB.2015.2476787
    • NLM

      Sato JR, Vidal MC, Santos S de S, Massirer KB, Fujita A. Complex network measures in autism spectrum disorders [Internet]. IEEE - ACM Transactions on Computational Biology and Bioinformatics. 2018 ; 15( 2): 581 - 587.[citado 2025 nov. 16 ] Available from: https://doi.org/10.1109/TCBB.2015.2476787
    • Vancouver

      Sato JR, Vidal MC, Santos S de S, Massirer KB, Fujita A. Complex network measures in autism spectrum disorders [Internet]. IEEE - ACM Transactions on Computational Biology and Bioinformatics. 2018 ; 15( 2): 581 - 587.[citado 2025 nov. 16 ] Available from: https://doi.org/10.1109/TCBB.2015.2476787
  • Fonte: Journal of Psychiatry and Neuroscience. Unidade: IME

    Assuntos: BIOINFORMÁTICA, ESTATÍSTICA COMPUTACIONAL, AUTISMO, CRIANÇAS AUTISTAS

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    • ABNT

      SATO, João Ricardo et al. Identification of segregated regions in the functional brain connectome of autistic patients by a combination of fuzzy spectral clustering and entropy analysis. Journal of Psychiatry and Neuroscience, v. 41, n. 2, p. 124-132, 2016Tradução . . Disponível em: https://doi.org/10.1503/jpn.140364. Acesso em: 16 nov. 2025.
    • APA

      Sato, J. R., Balardin, J. B., Vidal, M. C., & Fujita, A. (2016). Identification of segregated regions in the functional brain connectome of autistic patients by a combination of fuzzy spectral clustering and entropy analysis. Journal of Psychiatry and Neuroscience, 41( 2), 124-132. doi:10.1503/jpn.140364
    • NLM

      Sato JR, Balardin JB, Vidal MC, Fujita A. Identification of segregated regions in the functional brain connectome of autistic patients by a combination of fuzzy spectral clustering and entropy analysis [Internet]. Journal of Psychiatry and Neuroscience. 2016 ; 41( 2): 124-132.[citado 2025 nov. 16 ] Available from: https://doi.org/10.1503/jpn.140364
    • Vancouver

      Sato JR, Balardin JB, Vidal MC, Fujita A. Identification of segregated regions in the functional brain connectome of autistic patients by a combination of fuzzy spectral clustering and entropy analysis [Internet]. Journal of Psychiatry and Neuroscience. 2016 ; 41( 2): 124-132.[citado 2025 nov. 16 ] Available from: https://doi.org/10.1503/jpn.140364
  • Fonte: IEEE/ACM Transactions on Computational Biology and Bioinformatics. Unidade: IME

    Assuntos: BIOINFORMÁTICA, NEUROCIÊNCIAS, AUTISMO

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    • ABNT

      SATO, João Ricardo et al. Complex network measures in autism spectrum disorders. IEEE/ACM Transactions on Computational Biology and Bioinformatics, v. 15, n. 2, p. 581-587, 2015Tradução . . Disponível em: https://doi.org/10.1109/TCBB.2015.2476787. Acesso em: 16 nov. 2025.
    • APA

      Sato, J. R., Vidal, M. C., Santos, S. de S., Massirer, K. B., & Fujita, A. (2015). Complex network measures in autism spectrum disorders. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 15( 2), 581-587. doi:10.1109/TCBB.2015.2476787
    • NLM

      Sato JR, Vidal MC, Santos S de S, Massirer KB, Fujita A. Complex network measures in autism spectrum disorders [Internet]. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 2015 ; 15( 2): 581-587.[citado 2025 nov. 16 ] Available from: https://doi.org/10.1109/TCBB.2015.2476787
    • Vancouver

      Sato JR, Vidal MC, Santos S de S, Massirer KB, Fujita A. Complex network measures in autism spectrum disorders [Internet]. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 2015 ; 15( 2): 581-587.[citado 2025 nov. 16 ] Available from: https://doi.org/10.1109/TCBB.2015.2476787

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