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Filtros : "Nova Zelândia" "IME" Removidos: "Probabilidade e Estatística Aplicada" "ALGORITMOS E ESTRUTURAS DE DADOS" "AAAI Press" Limpar

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  • Artigo de periodico

    Reverse enGENEering of regulatory networks from big data: a roadmap for biologists (2015)

    Dong, Xiaoxi; Iambartsev, Anatoli ; Ramsey, Stephen A; Thomas, Lina Dornelas; Shulzhenko, Natalia; Morgun, Andrey

    Source: Bioinformatics and Biology Insights. Unidade: IME

    Subjects: ESTATÍSTICA APLICADA, BIOESTATÍSTICA, PROCESSOS ESTOCÁSTICOS

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

    • ABNT

      DONG, Xiaoxi et al. Reverse enGENEering of regulatory networks from big data: a roadmap for biologists. Bioinformatics and Biology Insights, v. 9, p. 61-74, 2015Tradução . . Disponível em: https://doi.org/10.4137/BBI.S12467. Acesso em: 16 nov. 2024.

    • APA

      Dong, X., Iambartsev, A., Ramsey, S. A., Thomas, L. D., Shulzhenko, N., & Morgun, A. (2015). Reverse enGENEering of regulatory networks from big data: a roadmap for biologists. Bioinformatics and Biology Insights, 9, 61-74. doi:10.4137/BBI.S12467

    • NLM

      Dong X, Iambartsev A, Ramsey SA, Thomas LD, Shulzhenko N, Morgun A. Reverse enGENEering of regulatory networks from big data: a roadmap for biologists [Internet]. Bioinformatics and Biology Insights. 2015 ; 9 61-74.[citado 2024 nov. 16 ] Available from: https://doi.org/10.4137/BBI.S12467

    • Vancouver

      Dong X, Iambartsev A, Ramsey SA, Thomas LD, Shulzhenko N, Morgun A. Reverse enGENEering of regulatory networks from big data: a roadmap for biologists [Internet]. Bioinformatics and Biology Insights. 2015 ; 9 61-74.[citado 2024 nov. 16 ] Available from: https://doi.org/10.4137/BBI.S12467

  • Artigo de periodico

    A new approach for identification of cancer-related pathways using protein networks and genomic data (2015)

    Fonseca, André; Gubitoso, Marco Dimas ; Reis, Marcelo da Silva ; Souza, Sandro J. de; Barrera, Júnior

    Source: Cancer Informatics. Unidade: IME

    Subjects: BIOINFORMÁTICA, BIOESTATÍSTICA, NEOPLASIAS

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

    • ABNT

      FONSECA, André et al. A new approach for identification of cancer-related pathways using protein networks and genomic data. Cancer Informatics, p. 139-149, 2015Tradução . . Disponível em: https://doi.org/10.4137/CIN.S30800. Acesso em: 16 nov. 2024.

    • APA

      Fonseca, A., Gubitoso, M. D., Reis, M. da S., Souza, S. J. de, & Barrera, J. (2015). A new approach for identification of cancer-related pathways using protein networks and genomic data. Cancer Informatics, 139-149. doi:10.4137/CIN.S30800

    • NLM

      Fonseca A, Gubitoso MD, Reis M da S, Souza SJ de, Barrera J. A new approach for identification of cancer-related pathways using protein networks and genomic data [Internet]. Cancer Informatics. 2015 ; 139-149.[citado 2024 nov. 16 ] Available from: https://doi.org/10.4137/CIN.S30800

    • Vancouver

      Fonseca A, Gubitoso MD, Reis M da S, Souza SJ de, Barrera J. A new approach for identification of cancer-related pathways using protein networks and genomic data [Internet]. Cancer Informatics. 2015 ; 139-149.[citado 2024 nov. 16 ] Available from: https://doi.org/10.4137/CIN.S30800

  • Artigo de periodico

    Influence of demographic and metabolic variables on forearm blood flow and vascular conductance in individuals without overt heart disease (2010)

    Sartori, Thiago E.; Nunes, Rafael A. B.; Tunes, Gisela ; Silva, Sandra C. da; Rondon, M. U.; Negrão, C. E.; Mansur, Alfredo J.

    Source: Vascular Healt and Risk Managment. Unidades: EEFE, IME

    Subjects: FLUXO SANGUÍNEO, DOENÇAS CARDIOVASCULARES

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

    • ABNT

      SARTORI, Thiago E. et al. Influence of demographic and metabolic variables on forearm blood flow and vascular conductance in individuals without overt heart disease. Vascular Healt and Risk Managment, v. 6, p. 431-437, 2010Tradução . . Disponível em: https://doi.org/10.2147/VHRM.S10683. Acesso em: 16 nov. 2024.

    • APA

      Sartori, T. E., Nunes, R. A. B., Tunes, G., Silva, S. C. da, Rondon, M. U., Negrão, C. E., & Mansur, A. J. (2010). Influence of demographic and metabolic variables on forearm blood flow and vascular conductance in individuals without overt heart disease. Vascular Healt and Risk Managment, 6, 431-437. doi:10.2147/VHRM.S10683

    • NLM

      Sartori TE, Nunes RAB, Tunes G, Silva SC da, Rondon MU, Negrão CE, Mansur AJ. Influence of demographic and metabolic variables on forearm blood flow and vascular conductance in individuals without overt heart disease [Internet]. Vascular Healt and Risk Managment. 2010 ; 6 431-437.[citado 2024 nov. 16 ] Available from: https://doi.org/10.2147/VHRM.S10683

    • Vancouver

      Sartori TE, Nunes RAB, Tunes G, Silva SC da, Rondon MU, Negrão CE, Mansur AJ. Influence of demographic and metabolic variables on forearm blood flow and vascular conductance in individuals without overt heart disease [Internet]. Vascular Healt and Risk Managment. 2010 ; 6 431-437.[citado 2024 nov. 16 ] Available from: https://doi.org/10.2147/VHRM.S10683
  • 1

1 - 3 (3 records)

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