Filtros : "INADA, NATALIA MAYUMI" "Antibiotics" Removido: "ENGENHARIA DE ESTRUTURAS" Limpar

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  • Source: Antibiotics. Unidade: IFSC

    Subjects: RESISTÊNCIA MICROBIANA ÀS DROGAS, ANTIBIÓTICOS, APRENDIZADO COMPUTACIONAL

    Versão PublicadaAcesso à fonteDOIHow to cite
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    • ABNT

      PATIÑO, Claudia Patricia Barrera et al. Spectroscopic identification of bacteria resistance to antibiotics by means of absorption of specific biochemical groups and special machine learning algorithm. Antibiotics, v. 12, n. 10, p. 1502-1-1502-18 + supplementary materials, 2023Tradução . . Disponível em: https://doi.org/10.3390/antibiotics12101502. Acesso em: 01 set. 2024.
    • APA

      Patiño, C. P. B., Soares, J. M., Blanco, K. C., Inada, N. M., & Bagnato, V. S. (2023). Spectroscopic identification of bacteria resistance to antibiotics by means of absorption of specific biochemical groups and special machine learning algorithm. Antibiotics, 12( 10), 1502-1-1502-18 + supplementary materials. doi:10.3390/antibiotics12101502
    • NLM

      Patiño CPB, Soares JM, Blanco KC, Inada NM, Bagnato VS. Spectroscopic identification of bacteria resistance to antibiotics by means of absorption of specific biochemical groups and special machine learning algorithm [Internet]. Antibiotics. 2023 ; 12( 10): 1502-1-1502-18 + supplementary materials.[citado 2024 set. 01 ] Available from: https://doi.org/10.3390/antibiotics12101502
    • Vancouver

      Patiño CPB, Soares JM, Blanco KC, Inada NM, Bagnato VS. Spectroscopic identification of bacteria resistance to antibiotics by means of absorption of specific biochemical groups and special machine learning algorithm [Internet]. Antibiotics. 2023 ; 12( 10): 1502-1-1502-18 + supplementary materials.[citado 2024 set. 01 ] Available from: https://doi.org/10.3390/antibiotics12101502

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