Filtros : "Fujita, André" "Financiamento The Academy of Medical Sciences" Removido: "Elsevier Ltd" Limpar

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  • Source: Journal of Bioinformatics and Computational Biology. Unidade: IME

    Subjects: BIOINFORMÁTICA, NEOPLASIAS PULMONARES, MODELOS PARA PROCESSOS ESTOCÁSTICOS

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    • ABNT

      RELVAS, Carlos E. M. et al. A model-based clustering algorithm with covariates adjustment and its application to lung cancer stratification. Journal of Bioinformatics and Computational Biology, v. 21, n. artigo 2350019, p. 1-26, 2023Tradução . . Disponível em: https://doi.org/10.1142/S0219720023500191. Acesso em: 03 set. 2024.
    • APA

      Relvas, C. E. M., Nakata, A., Chen, G., Beer, D. G., Gotoh, N., & Fujita, A. (2023). A model-based clustering algorithm with covariates adjustment and its application to lung cancer stratification. Journal of Bioinformatics and Computational Biology, 21( artigo 2350019), 1-26. doi:10.1142/S0219720023500191
    • NLM

      Relvas CEM, Nakata A, Chen G, Beer DG, Gotoh N, Fujita A. A model-based clustering algorithm with covariates adjustment and its application to lung cancer stratification [Internet]. Journal of Bioinformatics and Computational Biology. 2023 ; 21( artigo 2350019): 1-26.[citado 2024 set. 03 ] Available from: https://doi.org/10.1142/S0219720023500191
    • Vancouver

      Relvas CEM, Nakata A, Chen G, Beer DG, Gotoh N, Fujita A. A model-based clustering algorithm with covariates adjustment and its application to lung cancer stratification [Internet]. Journal of Bioinformatics and Computational Biology. 2023 ; 21( artigo 2350019): 1-26.[citado 2024 set. 03 ] Available from: https://doi.org/10.1142/S0219720023500191
  • Source: Network Science. Unidade: IME

    Assunto: TEORIA DOS GRAFOS

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      GUZMAN, Grover Enrique Castro e STADLER, Peter F. e FUJITA, André. Efficient Laplacian spectral density computations for networks with arbitrary degree distributions. Network Science, v. 9, n. 3, p. 312-327, 2021Tradução . . Disponível em: https://doi.org/10.1017/nws.2021.10. Acesso em: 03 set. 2024.
    • APA

      Guzman, G. E. C., Stadler, P. F., & Fujita, A. (2021). Efficient Laplacian spectral density computations for networks with arbitrary degree distributions. Network Science, 9( 3), 312-327. doi:10.1017/nws.2021.10
    • NLM

      Guzman GEC, Stadler PF, Fujita A. Efficient Laplacian spectral density computations for networks with arbitrary degree distributions [Internet]. Network Science. 2021 ; 9( 3): 312-327.[citado 2024 set. 03 ] Available from: https://doi.org/10.1017/nws.2021.10
    • Vancouver

      Guzman GEC, Stadler PF, Fujita A. Efficient Laplacian spectral density computations for networks with arbitrary degree distributions [Internet]. Network Science. 2021 ; 9( 3): 312-327.[citado 2024 set. 03 ] Available from: https://doi.org/10.1017/nws.2021.10
  • Source: Entropy. Unidade: IME

    Subjects: GRAFOS ALEATÓRIOS, TRANSTORNO AUTÍSTICO

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      RIBEIRO, Adèle Helena et al. Granger causality among graphs and application to functional brain connectivity in autism spectrum disorder. Entropy, v. 23, n. 9, p. 1-21, 2021Tradução . . Disponível em: https://doi.org/10.3390/e23091204. Acesso em: 03 set. 2024.
    • APA

      Ribeiro, A. H., Vidal, M. C., Sato, J. R., & Fujita, A. (2021). Granger causality among graphs and application to functional brain connectivity in autism spectrum disorder. Entropy, 23( 9), 1-21. doi:10.3390/e23091204
    • NLM

      Ribeiro AH, Vidal MC, Sato JR, Fujita A. Granger causality among graphs and application to functional brain connectivity in autism spectrum disorder [Internet]. Entropy. 2021 ; 23( 9): 1-21.[citado 2024 set. 03 ] Available from: https://doi.org/10.3390/e23091204
    • Vancouver

      Ribeiro AH, Vidal MC, Sato JR, Fujita A. Granger causality among graphs and application to functional brain connectivity in autism spectrum disorder [Internet]. Entropy. 2021 ; 23( 9): 1-21.[citado 2024 set. 03 ] Available from: https://doi.org/10.3390/e23091204
  • Source: Networks in systems biology : applications for disease modeling. Unidades: IME, BIOINFORMÁTICA

    Assunto: BIOINFORMÁTICA

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      CARVALHO, Vinicius Jardim e MORENO, Camila Castro e FUJITA, André. Computational tools for comparing gene coexpression networks. Networks in systems biology : applications for disease modeling. Tradução . Cham: Springer, 2020. . Disponível em: https://doi.org/10.1007/978-3-030-51862-2_2. Acesso em: 03 set. 2024.
    • APA

      Carvalho, V. J., Moreno, C. C., & Fujita, A. (2020). Computational tools for comparing gene coexpression networks. In Networks in systems biology : applications for disease modeling. Cham: Springer. doi:10.1007/978-3-030-51862-2_2
    • NLM

      Carvalho VJ, Moreno CC, Fujita A. Computational tools for comparing gene coexpression networks [Internet]. In: Networks in systems biology : applications for disease modeling. Cham: Springer; 2020. [citado 2024 set. 03 ] Available from: https://doi.org/10.1007/978-3-030-51862-2_2
    • Vancouver

      Carvalho VJ, Moreno CC, Fujita A. Computational tools for comparing gene coexpression networks [Internet]. In: Networks in systems biology : applications for disease modeling. Cham: Springer; 2020. [citado 2024 set. 03 ] Available from: https://doi.org/10.1007/978-3-030-51862-2_2

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