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Filtros : "Financiamento FAPESP" "BIOINFORMÁTICA" "Financiamento Alexander von Humboldt Foundation" Limpar

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  • Artigo de periodico

    A model-based clustering algorithm with covariates adjustment and its application to lung cancer stratification (2023)

    Relvas, Carlos E. M.; Nakata, Asuka; Chen, Guoan; Beer, David G. ; Gotoh, Noriko ; Fujita, André

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

    Subjects: BIOINFORMÁTICA, NEOPLASIAS PULMONARES, MODELOS PARA PROCESSOS ESTOCÁSTICOS

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

    • 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: 08 out. 2025.

    • 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 2025 out. 08 ] 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 2025 out. 08 ] Available from: https://doi.org/10.1142/S0219720023500191

  • Artigo de periodico

    Heart rate variability predicts the subject-driven cognitive states (2022)

    Farfán, Carlos Enrique Paucar ; Bruel, Pedro ; Goldman, Alfredo ; Takahashi, Daniel Yasumasa ; Fujita, André

    Source: Research Square. Unidade: IME

    Assunto: BIOINFORMÁTICA

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

    • ABNT

      FARFÁN, Carlos Enrique Paucar et al. Heart rate variability predicts the subject-driven cognitive states. Research Square, 2022Tradução . . Disponível em: https://doi.org/10.21203/rs.3.rs-1957712/v1. Acesso em: 08 out. 2025.

    • APA

      Farfán, C. E. P., Bruel, P., Goldman, A., Takahashi, D. Y., & Fujita, A. (2022). Heart rate variability predicts the subject-driven cognitive states. Research Square. doi:10.21203/rs.3.rs-1957712/v1

    • NLM

      Farfán CEP, Bruel P, Goldman A, Takahashi DY, Fujita A. Heart rate variability predicts the subject-driven cognitive states [Internet]. Research Square. 2022 ;[citado 2025 out. 08 ] Available from: https://doi.org/10.21203/rs.3.rs-1957712/v1

    • Vancouver

      Farfán CEP, Bruel P, Goldman A, Takahashi DY, Fujita A. Heart rate variability predicts the subject-driven cognitive states [Internet]. Research Square. 2022 ;[citado 2025 out. 08 ] Available from: https://doi.org/10.21203/rs.3.rs-1957712/v1
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