Filtros : "Financiamento FAPESP" "BIOINFORMÁTICA" "Carvalho, Vinicius Jardim" Limpar

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  • Source: Annals of Oncology. Conference titles: European Society for Medical Oncology Congress - ESMO. Unidades: IME, EEFE, FM, Interunidades em Bioinformática

    Assunto: BIOINFORMÁTICA

    Versão PublicadaAcesso à fonteDOIHow to cite
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    • ABNT

      CASTRO JUNIOR, Gilberto de et al. Impact of systemic inflammation, intramuscular adipose tissue content, and EORTC-QLQ-CAX24 symptom scale on the prognosis of patients with advanced non-small-cell lung cancer. Annals of Oncology. Amsterdam: Instituto de Matemática e Estatística, Universidade de São Paulo. Disponível em: https://doi.org/10.1016/j.annonc.2020.08.1460. Acesso em: 08 out. 2025. , 2020
    • APA

      Castro Junior, G. de, Neves, W. das, Borges, A. P. de S., Carvalho, V. J., Brum, P. C., & Fujita, A. (2020). Impact of systemic inflammation, intramuscular adipose tissue content, and EORTC-QLQ-CAX24 symptom scale on the prognosis of patients with advanced non-small-cell lung cancer. Annals of Oncology. Amsterdam: Instituto de Matemática e Estatística, Universidade de São Paulo. doi:10.1016/j.annonc.2020.08.1460
    • NLM

      Castro Junior G de, Neves W das, Borges AP de S, Carvalho VJ, Brum PC, Fujita A. Impact of systemic inflammation, intramuscular adipose tissue content, and EORTC-QLQ-CAX24 symptom scale on the prognosis of patients with advanced non-small-cell lung cancer [Internet]. Annals of Oncology. 2020 ; 31( supl. 4): S1047.[citado 2025 out. 08 ] Available from: https://doi.org/10.1016/j.annonc.2020.08.1460
    • Vancouver

      Castro Junior G de, Neves W das, Borges AP de S, Carvalho VJ, Brum PC, Fujita A. Impact of systemic inflammation, intramuscular adipose tissue content, and EORTC-QLQ-CAX24 symptom scale on the prognosis of patients with advanced non-small-cell lung cancer [Internet]. Annals of Oncology. 2020 ; 31( supl. 4): S1047.[citado 2025 out. 08 ] Available from: https://doi.org/10.1016/j.annonc.2020.08.1460
  • Source: Networks in systems biology : applications for disease modeling. Unidades: IME, Interunidades em Bioinformática

    Assunto: BIOINFORMÁTICA

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

      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: 08 out. 2025.
    • 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 2025 out. 08 ] 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 2025 out. 08 ] Available from: https://doi.org/10.1007/978-3-030-51862-2_2

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