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Filtros : "ANÁLISE DE SÉRIES TEMPORAIS" "Suécia" Removido: "LSN" Limpar

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  • Artigo de periodico

    Quadra-stable dynamics of p53 and PTEN in the DNA damage response (2023)

    Gupta, Shantanu ; Panda, Pritam Kumar ; Silveira, Daner Acunha ; Ahuja, Rajeev ; Hashimoto, Ronaldo Fumio

    Source: Cells. Unidade: IME

    Subjects: DNA, ANÁLISE DE SÉRIES TEMPORAIS, ÁLGEBRAS DE BOOLE

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

    • ABNT

      GUPTA, Shantanu et al. Quadra-stable dynamics of p53 and PTEN in the DNA damage response. Cells, v. 12, n. artigo 1085, p. 1-17, 2023Tradução . . Disponível em: https://doi.org/10.3390/cells12071085. Acesso em: 25 set. 2024.

    • APA

      Gupta, S., Panda, P. K., Silveira, D. A., Ahuja, R., & Hashimoto, R. F. (2023). Quadra-stable dynamics of p53 and PTEN in the DNA damage response. Cells, 12( artigo 1085), 1-17. doi:10.3390/cells12071085

    • NLM

      Gupta S, Panda PK, Silveira DA, Ahuja R, Hashimoto RF. Quadra-stable dynamics of p53 and PTEN in the DNA damage response [Internet]. Cells. 2023 ; 12( artigo 1085): 1-17.[citado 2024 set. 25 ] Available from: https://doi.org/10.3390/cells12071085

    • Vancouver

      Gupta S, Panda PK, Silveira DA, Ahuja R, Hashimoto RF. Quadra-stable dynamics of p53 and PTEN in the DNA damage response [Internet]. Cells. 2023 ; 12( artigo 1085): 1-17.[citado 2024 set. 25 ] Available from: https://doi.org/10.3390/cells12071085

  • Artigo de periodico

    River: machine learning for streaming data in Python (2021)

    Montiel, Jacob ; Halford, Max; Mastelini, Saulo Martiello ; Bolmier, Geoffrey; Sourty, Raphael; Vaysse, Robin; Zouitine, Adil; Gomes, Heitor Murilo ; Read, Jesse ; Abdessalem, Talel ; Bifet, Albert

    Source: Journal of Machine Learning Research. Unidade: ICMC

    Subjects: APRENDIZADO COMPUTACIONAL, ANÁLISE DE SÉRIES TEMPORAIS, PYTHON

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

    • ABNT

      MONTIEL, Jacob et al. River: machine learning for streaming data in Python. Journal of Machine Learning Research, v. 22, p. 1-8, 2021Tradução . . Disponível em: https://www.jmlr.org/papers/volume22/20-1380/20-1380.pdf. Acesso em: 25 set. 2024.

    • APA

      Montiel, J., Halford, M., Mastelini, S. M., Bolmier, G., Sourty, R., Vaysse, R., et al. (2021). River: machine learning for streaming data in Python. Journal of Machine Learning Research, 22, 1-8. Recuperado de https://www.jmlr.org/papers/volume22/20-1380/20-1380.pdf

    • NLM

      Montiel J, Halford M, Mastelini SM, Bolmier G, Sourty R, Vaysse R, Zouitine A, Gomes HM, Read J, Abdessalem T, Bifet A. River: machine learning for streaming data in Python [Internet]. Journal of Machine Learning Research. 2021 ; 22 1-8.[citado 2024 set. 25 ] Available from: https://www.jmlr.org/papers/volume22/20-1380/20-1380.pdf

    • Vancouver

      Montiel J, Halford M, Mastelini SM, Bolmier G, Sourty R, Vaysse R, Zouitine A, Gomes HM, Read J, Abdessalem T, Bifet A. River: machine learning for streaming data in Python [Internet]. Journal of Machine Learning Research. 2021 ; 22 1-8.[citado 2024 set. 25 ] Available from: https://www.jmlr.org/papers/volume22/20-1380/20-1380.pdf
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