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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

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

    Assuntos: BIOINFORMÁTICA, NEOPLASIAS PULMONARES, MODELOS PARA PROCESSOS ESTOCÁSTICOS

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    • 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: 15 nov. 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 nov. 15 ] 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 nov. 15 ] Available from: https://doi.org/10.1142/S0219720023500191

  • Artigo de periodico

    Intrinsically multivariate predictive genes (2008)

    Martins Júnior, David Correa; Braga-Neto, Ulisses de M.; Hashimoto, Ronaldo Fumio ; Bittner, Michael L.; Dougherty, Edward R.

    Fonte: IEEE Journal of Selected Topics in Signal Processing. Unidade: IME

    Assuntos: COMPUTAÇÃO GRÁFICA, GENES, BIOINFORMÁTICA

    Acesso à fonteDOIComo citar
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      MARTINS JÚNIOR, David Correa et al. Intrinsically multivariate predictive genes. IEEE Journal of Selected Topics in Signal Processing, v. 2, n. 3, p. 424-439, 2008Tradução . . Disponível em: https://doi.org/10.1109/JSTSP.2008.923841. Acesso em: 15 nov. 2025.

    • APA

      Martins Júnior, D. C., Braga-Neto, U. de M., Hashimoto, R. F., Bittner, M. L., & Dougherty, E. R. (2008). Intrinsically multivariate predictive genes. IEEE Journal of Selected Topics in Signal Processing, 2( 3), 424-439. doi:10.1109/JSTSP.2008.923841

    • NLM

      Martins Júnior DC, Braga-Neto U de M, Hashimoto RF, Bittner ML, Dougherty ER. Intrinsically multivariate predictive genes [Internet]. IEEE Journal of Selected Topics in Signal Processing. 2008 ; 2( 3): 424-439.[citado 2025 nov. 15 ] Available from: https://doi.org/10.1109/JSTSP.2008.923841

    • Vancouver

      Martins Júnior DC, Braga-Neto U de M, Hashimoto RF, Bittner ML, Dougherty ER. Intrinsically multivariate predictive genes [Internet]. IEEE Journal of Selected Topics in Signal Processing. 2008 ; 2( 3): 424-439.[citado 2025 nov. 15 ] Available from: https://doi.org/10.1109/JSTSP.2008.923841
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