Filtros : "Network Modeling Analysis in Health Informatics and Bioinformatics" Limpar

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  • Source: Network Modeling Analysis in Health Informatics and Bioinformatics. Unidade: IME

    Subjects: BIOINFORMÁTICA, GENÉTICA ESTATÍSTICA

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

      MONTOYA CUBAS, Carlos Fernando et al. Linear grouping of predictor instances to infer gene networks. Network Modeling Analysis in Health Informatics and Bioinformatics, v. 4, n. article º 34, p. 17 , 2015Tradução . . Disponível em: https://doi.org/10.1007/s13721-015-0105-2. Acesso em: 10 nov. 2025.
    • APA

      Montoya Cubas, C. F., Martins Júnior, D. C., Santos, C. S., & Barrera, J. (2015). Linear grouping of predictor instances to infer gene networks. Network Modeling Analysis in Health Informatics and Bioinformatics, 4( article º 34), 17 . doi:10.1007/s13721-015-0105-2
    • NLM

      Montoya Cubas CF, Martins Júnior DC, Santos CS, Barrera J. Linear grouping of predictor instances to infer gene networks [Internet]. Network Modeling Analysis in Health Informatics and Bioinformatics. 2015 ; 4( article º 34): 17 .[citado 2025 nov. 10 ] Available from: https://doi.org/10.1007/s13721-015-0105-2
    • Vancouver

      Montoya Cubas CF, Martins Júnior DC, Santos CS, Barrera J. Linear grouping of predictor instances to infer gene networks [Internet]. Network Modeling Analysis in Health Informatics and Bioinformatics. 2015 ; 4( article º 34): 17 .[citado 2025 nov. 10 ] Available from: https://doi.org/10.1007/s13721-015-0105-2
  • Source: Network Modeling Analysis in Health Informatics and Bioinformatics. Unidades: FM, IME

    Subjects: COMPUTAÇÃO GRÁFICA, BIOINFORMÁTICA

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

      SWARNKAR, Tripti et al. Identifying dense subgraphs in protein–protein interaction network for gene selection from microarray data. Network Modeling Analysis in Health Informatics and Bioinformatics, v. 4, n. 1, p. 1-18, 2015Tradução . . Disponível em: https://doi.org/10.1007/s13721-015-0104-3. Acesso em: 10 nov. 2025.
    • APA

      Swarnkar, T., Simões, S. N., Anura, A., Brentani, H., Chatterjee, J., Hashimoto, R. F., et al. (2015). Identifying dense subgraphs in protein–protein interaction network for gene selection from microarray data. Network Modeling Analysis in Health Informatics and Bioinformatics, 4( 1), 1-18. doi:10.1007/s13721-015-0104-3
    • NLM

      Swarnkar T, Simões SN, Anura A, Brentani H, Chatterjee J, Hashimoto RF, Martins DC, Mitra P. Identifying dense subgraphs in protein–protein interaction network for gene selection from microarray data [Internet]. Network Modeling Analysis in Health Informatics and Bioinformatics. 2015 ; 4( 1): 1-18.[citado 2025 nov. 10 ] Available from: https://doi.org/10.1007/s13721-015-0104-3
    • Vancouver

      Swarnkar T, Simões SN, Anura A, Brentani H, Chatterjee J, Hashimoto RF, Martins DC, Mitra P. Identifying dense subgraphs in protein–protein interaction network for gene selection from microarray data [Internet]. Network Modeling Analysis in Health Informatics and Bioinformatics. 2015 ; 4( 1): 1-18.[citado 2025 nov. 10 ] Available from: https://doi.org/10.1007/s13721-015-0104-3

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