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  • Source: Journal of Mathematical Imaging and Vision. Unidade: IME

    Subjects: REDES NEURAIS, PROCESSAMENTO DE IMAGENS, IMAGEM DIGITAL, ALGORITMOS

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      MARCONDES, Diego e FELDMAN, Mariana de Sousa e BARRERA, Junior. Unrestricted sequential discrete morphological neural networks. Journal of Mathematical Imaging and Vision, v. 67, n. 39, p. 1-22, 2025Tradução . . Disponível em: https://doi.org/10.1007/s10851-025-01255-9. Acesso em: 17 abr. 2026.
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      Marcondes, D., Feldman, M. de S., & Barrera, J. (2025). Unrestricted sequential discrete morphological neural networks. Journal of Mathematical Imaging and Vision, 67( 39), 1-22. doi:10.1007/s10851-025-01255-9
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      Marcondes D, Feldman M de S, Barrera J. Unrestricted sequential discrete morphological neural networks [Internet]. Journal of Mathematical Imaging and Vision. 2025 ; 67( 39): 1-22.[citado 2026 abr. 17 ] Available from: https://doi.org/10.1007/s10851-025-01255-9
    • Vancouver

      Marcondes D, Feldman M de S, Barrera J. Unrestricted sequential discrete morphological neural networks [Internet]. Journal of Mathematical Imaging and Vision. 2025 ; 67( 39): 1-22.[citado 2026 abr. 17 ] Available from: https://doi.org/10.1007/s10851-025-01255-9
  • Source: SIAM Journal on Imaging Sciences. Unidade: IME

    Subjects: PROCESSAMENTO DE IMAGENS, RETICULADOS, RECONHECIMENTO DE PADRÕES, INTELIGÊNCIA ARTIFICIAL

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      MARCONDES, Diego e BARRERA, Junior. Discrete Morphological Neural Networks. SIAM Journal on Imaging Sciences, v. 17, n. 3, p. 1650-1689, 2024Tradução . . Disponível em: https://doi.org/10.1137/23M1598477. Acesso em: 17 abr. 2026.
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      Marcondes, D., & Barrera, J. (2024). Discrete Morphological Neural Networks. SIAM Journal on Imaging Sciences, 17( 3), 1650-1689. doi:10.1137/23M1598477
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      Marcondes D, Barrera J. Discrete Morphological Neural Networks [Internet]. SIAM Journal on Imaging Sciences. 2024 ; 17( 3): 1650-1689.[citado 2026 abr. 17 ] Available from: https://doi.org/10.1137/23M1598477
    • Vancouver

      Marcondes D, Barrera J. Discrete Morphological Neural Networks [Internet]. SIAM Journal on Imaging Sciences. 2024 ; 17( 3): 1650-1689.[citado 2026 abr. 17 ] Available from: https://doi.org/10.1137/23M1598477
  • Source: Nature Machine Intelligence. Unidade: IME

    Assunto: APRENDIZADO COMPUTACIONAL

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      MARCONDES, Diego e SIMONIS, Adilson e BARRERA, Junior. Back to basics to open the black box. Nature Machine Intelligence, v. 6, p. 498-501, 2024Tradução . . Disponível em: https://doi.org/10.1038/s42256-024-00842-6. Acesso em: 17 abr. 2026.
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      Marcondes, D., Simonis, A., & Barrera, J. (2024). Back to basics to open the black box. Nature Machine Intelligence, 6, 498-501. doi:10.1038/s42256-024-00842-6
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      Marcondes D, Simonis A, Barrera J. Back to basics to open the black box [Internet]. Nature Machine Intelligence. 2024 ; 6 498-501.[citado 2026 abr. 17 ] Available from: https://doi.org/10.1038/s42256-024-00842-6
    • Vancouver

      Marcondes D, Simonis A, Barrera J. Back to basics to open the black box [Internet]. Nature Machine Intelligence. 2024 ; 6 498-501.[citado 2026 abr. 17 ] Available from: https://doi.org/10.1038/s42256-024-00842-6
  • Source: Proceedings. Conference titles: International Conference on Discrete Geometry and Mathematical Morphology - DGMM. Unidade: IME

    Subjects: PROCESSAMENTO DE IMAGENS, REDES NEURAIS

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      MARCONDES, Diego e FELDMAN, Mariana de Sousa e BARRERA, Junior. An algorithm to train unrestricted sequential discrete morphological neural networks. Proceedings. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-57793-2_14. Acesso em: 17 abr. 2026. , 2024
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      Marcondes, D., Feldman, M. de S., & Barrera, J. (2024). An algorithm to train unrestricted sequential discrete morphological neural networks. Proceedings. Cham: Springer. doi:10.1007/978-3-031-57793-2_14
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      Marcondes D, Feldman M de S, Barrera J. An algorithm to train unrestricted sequential discrete morphological neural networks [Internet]. Proceedings. 2024 ;[citado 2026 abr. 17 ] Available from: https://doi.org/10.1007/978-3-031-57793-2_14
    • Vancouver

      Marcondes D, Feldman M de S, Barrera J. An algorithm to train unrestricted sequential discrete morphological neural networks [Internet]. Proceedings. 2024 ;[citado 2026 abr. 17 ] Available from: https://doi.org/10.1007/978-3-031-57793-2_14
  • Source: Proceedings. Conference titles: International Conference on Discrete Geometry and Mathematical Morphology - DGMM. Unidade: IME

    Subjects: PROCESSAMENTO DE IMAGENS, APRENDIZADO COMPUTACIONAL, OPERADORES

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      MARCONDES, Diego e BARRERA, Junior. The lattice overparametrization paradigm for the machine learning of lattice operators. Proceedings. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-57793-2_16. Acesso em: 17 abr. 2026. , 2024
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      Marcondes, D., & Barrera, J. (2024). The lattice overparametrization paradigm for the machine learning of lattice operators. Proceedings. Cham: Springer. doi:10.1007/978-3-031-57793-2_16
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      Marcondes D, Barrera J. The lattice overparametrization paradigm for the machine learning of lattice operators [Internet]. Proceedings. 2024 ;[citado 2026 abr. 17 ] Available from: https://doi.org/10.1007/978-3-031-57793-2_16
    • Vancouver

      Marcondes D, Barrera J. The lattice overparametrization paradigm for the machine learning of lattice operators [Internet]. Proceedings. 2024 ;[citado 2026 abr. 17 ] Available from: https://doi.org/10.1007/978-3-031-57793-2_16
  • Source: São Paulo Journal of Mathematical Sciences. Unidade: IME

    Subjects: METODOLOGIA E TÉCNICAS DE COMPUTAÇÃO, PROCESSAMENTO DE IMAGENS

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      BARRERA, Junior et al. From mathematical morphology to machine learning of image operators. São Paulo Journal of Mathematical Sciences, 2022Tradução . . Disponível em: https://doi.org/10.1007/s40863-022-00303-1. Acesso em: 17 abr. 2026.
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      Barrera, J., Hashimoto, R. F., Hirata, N. S. T., Hirata Júnior, R., & Reis, M. S. (2022). From mathematical morphology to machine learning of image operators. São Paulo Journal of Mathematical Sciences. doi:10.1007/s40863-022-00303-1
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      Barrera J, Hashimoto RF, Hirata NST, Hirata Júnior R, Reis MS. From mathematical morphology to machine learning of image operators [Internet]. São Paulo Journal of Mathematical Sciences. 2022 ;[citado 2026 abr. 17 ] Available from: https://doi.org/10.1007/s40863-022-00303-1
    • Vancouver

      Barrera J, Hashimoto RF, Hirata NST, Hirata Júnior R, Reis MS. From mathematical morphology to machine learning of image operators [Internet]. São Paulo Journal of Mathematical Sciences. 2022 ;[citado 2026 abr. 17 ] Available from: https://doi.org/10.1007/s40863-022-00303-1
  • Source: São Paulo Journal of Mathematical Sciences. Unidade: IME

    Assunto: HISTÓRIA DA MATEMÁTICA

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      BARRERA, Junior et al. Opening Note: the golden jubilee of the Institute of Mathematics and Statistics of the University of São Paulo. São Paulo Journal of Mathematical Sciences. Heidelberg: Instituto de Matemática e Estatística, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/s40863-022-00307-x. Acesso em: 17 abr. 2026. , 2022
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      Barrera, J., Fontes, L. R., Gorodski, C., Ragazzo, C. G., & Kohayakawa, Y. (2022). Opening Note: the golden jubilee of the Institute of Mathematics and Statistics of the University of São Paulo. São Paulo Journal of Mathematical Sciences. Heidelberg: Instituto de Matemática e Estatística, Universidade de São Paulo. doi:10.1007/s40863-022-00307-x
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      Barrera J, Fontes LR, Gorodski C, Ragazzo CG, Kohayakawa Y. Opening Note: the golden jubilee of the Institute of Mathematics and Statistics of the University of São Paulo [Internet]. São Paulo Journal of Mathematical Sciences. 2022 ; 16( 1): 1-4.[citado 2026 abr. 17 ] Available from: https://doi.org/10.1007/s40863-022-00307-x
    • Vancouver

      Barrera J, Fontes LR, Gorodski C, Ragazzo CG, Kohayakawa Y. Opening Note: the golden jubilee of the Institute of Mathematics and Statistics of the University of São Paulo [Internet]. São Paulo Journal of Mathematical Sciences. 2022 ; 16( 1): 1-4.[citado 2026 abr. 17 ] Available from: https://doi.org/10.1007/s40863-022-00307-x
  • Source: Entropy. Unidade: IME

    Assunto: TEORIA DA INFORMAÇÃO

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      ESTRELA, Gustavo et al. An efficient, parallelized algorithm for optimal conditional entropy-based feature selection. Entropy, v. 22, n. 4, p. 1-20, 2020Tradução . . Disponível em: https://doi.org/10.3390/e22040492. Acesso em: 17 abr. 2026.
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      Estrela, G., Gubitoso, M. D., Ferreira, C. E., Barrera, J., & Reis, M. da S. (2020). An efficient, parallelized algorithm for optimal conditional entropy-based feature selection. Entropy, 22( 4), 1-20. doi:10.3390/e22040492
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      Estrela G, Gubitoso MD, Ferreira CE, Barrera J, Reis M da S. An efficient, parallelized algorithm for optimal conditional entropy-based feature selection [Internet]. Entropy. 2020 ; 22( 4): 1-20.[citado 2026 abr. 17 ] Available from: https://doi.org/10.3390/e22040492
    • Vancouver

      Estrela G, Gubitoso MD, Ferreira CE, Barrera J, Reis M da S. An efficient, parallelized algorithm for optimal conditional entropy-based feature selection [Internet]. Entropy. 2020 ; 22( 4): 1-20.[citado 2026 abr. 17 ] Available from: https://doi.org/10.3390/e22040492
  • Source: Journal of Physical Education and Sport (JPES). Unidades: FFCLRP, IME, EEFE

    Subjects: ANÁLISE DE DESEMPENHO, ESPORTES POR EQUIPE, FUTEBOL

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      DREZNER, Rene et al. A method for classifying and evaluating the efficiency of offensive playing styles in soccer. Journal of Physical Education and Sport (JPES), v. 20, n. 3, p. 1284-1294, 2020Tradução . . Disponível em: https://doi.org/10.7752/jpes.2020.03179. Acesso em: 17 abr. 2026.
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      Drezner, R., Lamas, L., Farias, C., Barrera, J., & Dantas, L. (2020). A method for classifying and evaluating the efficiency of offensive playing styles in soccer. Journal of Physical Education and Sport (JPES), 20( 3), 1284-1294. doi:10.7752/jpes.2020.03179
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      Drezner R, Lamas L, Farias C, Barrera J, Dantas L. A method for classifying and evaluating the efficiency of offensive playing styles in soccer [Internet]. Journal of Physical Education and Sport (JPES). 2020 ;20( 3): 1284-1294.[citado 2026 abr. 17 ] Available from: https://doi.org/10.7752/jpes.2020.03179
    • Vancouver

      Drezner R, Lamas L, Farias C, Barrera J, Dantas L. A method for classifying and evaluating the efficiency of offensive playing styles in soccer [Internet]. Journal of Physical Education and Sport (JPES). 2020 ;20( 3): 1284-1294.[citado 2026 abr. 17 ] Available from: https://doi.org/10.7752/jpes.2020.03179
  • Source: Information Sciences. Unidade: IME

    Subjects: OTIMIZAÇÃO COMBINATÓRIA, APRENDIZADO COMPUTACIONAL

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      REIS, Marcelo da Silva et al. Optimal Boolean lattice-based algorithms for the U-curve optimization problem. Information Sciences, v. 471, p. 97-114, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.ins.2018.08.060. Acesso em: 17 abr. 2026.
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      Reis, M. da S., Estrela, G., Ferreira, C. E., & Barrera, J. (2019). Optimal Boolean lattice-based algorithms for the U-curve optimization problem. Information Sciences, 471, 97-114. doi:10.1016/j.ins.2018.08.060
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      Reis M da S, Estrela G, Ferreira CE, Barrera J. Optimal Boolean lattice-based algorithms for the U-curve optimization problem [Internet]. Information Sciences. 2019 ; 471 97-114.[citado 2026 abr. 17 ] Available from: https://doi.org/10.1016/j.ins.2018.08.060
    • Vancouver

      Reis M da S, Estrela G, Ferreira CE, Barrera J. Optimal Boolean lattice-based algorithms for the U-curve optimization problem [Internet]. Information Sciences. 2019 ; 471 97-114.[citado 2026 abr. 17 ] Available from: https://doi.org/10.1016/j.ins.2018.08.060
  • Source: Proceedings: Bayesian inference and maximum entropy methods in science and engineering. Conference titles: International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering - Maxent. Unidade: IME

    Subjects: MATEMÁTICA DA COMPUTAÇÃO, MATEMÁTICA DISCRETA

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      MARCONDES, Diego e SIMONIS, Adilson e BARRERA, Junior. Feature selection from local lift dependence-based partitions. 2018, Anais.. Cham: Springer, 2018. Disponível em: https://doi.org/10.1007/978-3-319-91143-4_5. Acesso em: 17 abr. 2026.
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      Marcondes, D., Simonis, A., & Barrera, J. (2018). Feature selection from local lift dependence-based partitions. In Proceedings: Bayesian inference and maximum entropy methods in science and engineering. Cham: Springer. doi:10.1007/978-3-319-91143-4_5
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      Marcondes D, Simonis A, Barrera J. Feature selection from local lift dependence-based partitions [Internet]. Proceedings: Bayesian inference and maximum entropy methods in science and engineering. 2018 ;[citado 2026 abr. 17 ] Available from: https://doi.org/10.1007/978-3-319-91143-4_5
    • Vancouver

      Marcondes D, Simonis A, Barrera J. Feature selection from local lift dependence-based partitions [Internet]. Proceedings: Bayesian inference and maximum entropy methods in science and engineering. 2018 ;[citado 2026 abr. 17 ] Available from: https://doi.org/10.1007/978-3-319-91143-4_5
  • Source: PLOS ONE. Unidade: IME

    Subjects: FUTEBOL, TOMADA DE DECISÃO, PROBABILIDADE APLICADA

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      LAMAS, Leonardo et al. Analytic method for evaluating players’ decisions in team sports: Applications to the soccer goalkeeper. PLOS ONE, v. 13, n. 2, p. 1-18, 2018Tradução . . Disponível em: https://doi.org/10.1371/journal.pone.0191431. Acesso em: 17 abr. 2026.
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      Lamas, L., Drezner, R., Otranto, G., & Barrera, J. (2018). Analytic method for evaluating players’ decisions in team sports: Applications to the soccer goalkeeper. PLOS ONE, 13( 2), 1-18. doi:10.1371/journal.pone.0191431
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      Lamas L, Drezner R, Otranto G, Barrera J. Analytic method for evaluating players’ decisions in team sports: Applications to the soccer goalkeeper [Internet]. PLOS ONE. 2018 ; 13( 2): 1-18.[citado 2026 abr. 17 ] Available from: https://doi.org/10.1371/journal.pone.0191431
    • Vancouver

      Lamas L, Drezner R, Otranto G, Barrera J. Analytic method for evaluating players’ decisions in team sports: Applications to the soccer goalkeeper [Internet]. PLOS ONE. 2018 ; 13( 2): 1-18.[citado 2026 abr. 17 ] Available from: https://doi.org/10.1371/journal.pone.0191431
  • Source: Entropy. Conference titles: International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering - MaxEnt 2017. Unidade: IME

    Assunto: INFERÊNCIA BAYESIANA

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      MARCONDES, Diego e SIMONIS, Adilson e BARRERA, Júnior. Feature selection based on the Local Lift Dependence scale. Entropy. Basel: MDPI. Disponível em: https://doi.org/10.3390/e20020097. Acesso em: 17 abr. 2026. , 2018
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      Marcondes, D., Simonis, A., & Barrera, J. (2018). Feature selection based on the Local Lift Dependence scale. Entropy. Basel: MDPI. doi:10.3390/e20020097
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      Marcondes D, Simonis A, Barrera J. Feature selection based on the Local Lift Dependence scale [Internet]. Entropy. 2018 ; 20( 2): 1-20.[citado 2026 abr. 17 ] Available from: https://doi.org/10.3390/e20020097
    • Vancouver

      Marcondes D, Simonis A, Barrera J. Feature selection based on the Local Lift Dependence scale [Internet]. Entropy. 2018 ; 20( 2): 1-20.[citado 2026 abr. 17 ] Available from: https://doi.org/10.3390/e20020097
  • Source: Scientific Reports. Unidade: IME

    Assunto: BIOINFORMÁTICA

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      BRANCO, Paulo R et al. Uncovering association networks through an eQTL analysis involving human miRNAs and lincRNAs. Scientific Reports, v. 8, p. 15050-1-15050-10, 2018Tradução . . Disponível em: https://doi.org/10.1038/s41598-018-33420-z. Acesso em: 17 abr. 2026.
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      Branco, P. R., Araújo, G. S. de, Barrera, J., Suarez-Kurtz, G., & Souza, S. J. de. (2018). Uncovering association networks through an eQTL analysis involving human miRNAs and lincRNAs. Scientific Reports, 8, 15050-1-15050-10. doi:10.1038/s41598-018-33420-z
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      Branco PR, Araújo GS de, Barrera J, Suarez-Kurtz G, Souza SJ de. Uncovering association networks through an eQTL analysis involving human miRNAs and lincRNAs [Internet]. Scientific Reports. 2018 ; 8 15050-1-15050-10.[citado 2026 abr. 17 ] Available from: https://doi.org/10.1038/s41598-018-33420-z
    • Vancouver

      Branco PR, Araújo GS de, Barrera J, Suarez-Kurtz G, Souza SJ de. Uncovering association networks through an eQTL analysis involving human miRNAs and lincRNAs [Internet]. Scientific Reports. 2018 ; 8 15050-1-15050-10.[citado 2026 abr. 17 ] Available from: https://doi.org/10.1038/s41598-018-33420-z
  • Source: Pattern Recognition. Unidade: IME

    Assunto: CIÊNCIA DA COMPUTAÇÃO

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      ATASHPAZ-GARGARI, Esmaeil et al. A fast Branch-and-Bound algorithm for U-curve feature selection. Pattern Recognition, v. 73, p. 172-188, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.patcog.2017.08.013. Acesso em: 17 abr. 2026.
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      Atashpaz-Gargari, E., Reis, M. da S., Braga-Neto, U. M., Barrera, J., & Dougherty, E. R. (2018). A fast Branch-and-Bound algorithm for U-curve feature selection. Pattern Recognition, 73, 172-188. doi:10.1016/j.patcog.2017.08.013
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      Atashpaz-Gargari E, Reis M da S, Braga-Neto UM, Barrera J, Dougherty ER. A fast Branch-and-Bound algorithm for U-curve feature selection [Internet]. Pattern Recognition. 2018 ; 73 172-188.[citado 2026 abr. 17 ] Available from: https://doi.org/10.1016/j.patcog.2017.08.013
    • Vancouver

      Atashpaz-Gargari E, Reis M da S, Braga-Neto UM, Barrera J, Dougherty ER. A fast Branch-and-Bound algorithm for U-curve feature selection [Internet]. Pattern Recognition. 2018 ; 73 172-188.[citado 2026 abr. 17 ] Available from: https://doi.org/10.1016/j.patcog.2017.08.013
  • Source: Abstracts. Conference titles: Computational Modeling in BIology NEtwork - COMBINE. Unidades: IME, IQ

    Subjects: COMPUTAÇÃO APLICADA, BIOINFORMÁTICA

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      NOEL, Vincent et al. SigNetSim: a web-based framework for designing kinetic models of molecular signaling networks. 2016, Anais.. [S.l.]: COMBINE, 2016. Disponível em: http://co.mbine.org/events/COMBINE_2016/abstracts. Acesso em: 17 abr. 2026.
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      Noel, V., Reis, M. da S., Dias, M. H. dos S., Wu, L., Guimarães, A. S., Reverbel, D. F., et al. (2016). SigNetSim: a web-based framework for designing kinetic models of molecular signaling networks. In Abstracts. [S.l.]: COMBINE. Recuperado de http://co.mbine.org/events/COMBINE_2016/abstracts
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      Noel V, Reis M da S, Dias MH dos S, Wu L, Guimarães AS, Reverbel DF, Barrera J, Armelin HA. SigNetSim: a web-based framework for designing kinetic models of molecular signaling networks [Internet]. Abstracts. 2016 ;[citado 2026 abr. 17 ] Available from: http://co.mbine.org/events/COMBINE_2016/abstracts
    • Vancouver

      Noel V, Reis M da S, Dias MH dos S, Wu L, Guimarães AS, Reverbel DF, Barrera J, Armelin HA. SigNetSim: a web-based framework for designing kinetic models of molecular signaling networks [Internet]. Abstracts. 2016 ;[citado 2026 abr. 17 ] Available from: http://co.mbine.org/events/COMBINE_2016/abstracts
  • Source: Proceedings. Conference titles: International Symposium on Computer Science in Sports - ISCSS. Unidade: IME

    Subjects: INTELIGÊNCIA ARTIFICIAL, CIÊNCIA DA COMPUTAÇÃO, ESPORTES, SISTEMAS DINÂMICOS

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      LAMAS, Leonardo e OTRANTO, Guilherme e BARRERA, Júnior. Computational system for strategy design and match simulation in team sports. 2016, Anais.. Cham: Springer, 2016. Disponível em: https://doi.org/10.1007/978-3-319-24560-7_9. Acesso em: 17 abr. 2026.
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      Lamas, L., Otranto, G., & Barrera, J. (2016). Computational system for strategy design and match simulation in team sports. In Proceedings. Cham: Springer. doi:10.1007/978-3-319-24560-7_9
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      Lamas L, Otranto G, Barrera J. Computational system for strategy design and match simulation in team sports [Internet]. Proceedings. 2016 ;[citado 2026 abr. 17 ] Available from: https://doi.org/10.1007/978-3-319-24560-7_9
    • Vancouver

      Lamas L, Otranto G, Barrera J. Computational system for strategy design and match simulation in team sports [Internet]. Proceedings. 2016 ;[citado 2026 abr. 17 ] Available from: https://doi.org/10.1007/978-3-319-24560-7_9
  • Source: Abstracts. Conference titles: Annual International Conference on Research in Computational Molecular Biology - RECOMB. Unidades: IME, IQ

    Subjects: COMPUTAÇÃO APLICADA, BIOINFORMÁTICA

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      REIS, Marcelo da Silva et al. CeTICSdb: a platform for interdisciplinary research that allows quantitative and qualitative -omics analyses and mathematical modeling of signaling networks. 2015, Anais.. München: Max-Planck-Gesellschaft, 2015. Disponível em: https://f1000research.com/posters/1095384. Acesso em: 17 abr. 2026.
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      Reis, M. da S., Nishiyama Junior, M. Y., Silva, D. F., Junqueira-de-Azevedo, I. de L. M., Cunha, J. P. C. da, Barrera, J., et al. (2015). CeTICSdb: a platform for interdisciplinary research that allows quantitative and qualitative -omics analyses and mathematical modeling of signaling networks. In Abstracts. München: Max-Planck-Gesellschaft. Recuperado de https://f1000research.com/posters/1095384
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      Reis M da S, Nishiyama Junior MY, Silva DF, Junqueira-de-Azevedo I de LM, Cunha JPC da, Barrera J, Iwai LK, Serrano SM de T, Armelin HA. CeTICSdb: a platform for interdisciplinary research that allows quantitative and qualitative -omics analyses and mathematical modeling of signaling networks [Internet]. Abstracts. 2015 ;[citado 2026 abr. 17 ] Available from: https://f1000research.com/posters/1095384
    • Vancouver

      Reis M da S, Nishiyama Junior MY, Silva DF, Junqueira-de-Azevedo I de LM, Cunha JPC da, Barrera J, Iwai LK, Serrano SM de T, Armelin HA. CeTICSdb: a platform for interdisciplinary research that allows quantitative and qualitative -omics analyses and mathematical modeling of signaling networks [Internet]. Abstracts. 2015 ;[citado 2026 abr. 17 ] Available from: https://f1000research.com/posters/1095384
  • Source: Abstracts Book. Conference titles: Congress of the International Union for Biochemistry and Molecular Biology - IUBMB. Unidades: IME, IQ

    Subjects: BIOQUÍMICA, BIOINFORMÁTICA, MODELOS MATEMÁTICOS

    Acesso à fonteHow to cite
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    • ABNT

      NISHIYAMA JUNIOR, Milton Yutaka et al. CETICSDB: a platform for integration and analysis of high-throughput-omics data and mathematical modeling of biochemical reactions. 2015, Anais.. São Paulo: Sociedade Brasileira de Bioquímica e Biologia Molecular (SBBq), 2015. Disponível em: http://www.sbbq.org.br/iubmb2015/cdrom/resumos/R09084-1.pdf. Acesso em: 17 abr. 2026.
    • APA

      Nishiyama Junior, M. Y., Reis, M. S., Silva, D. F., Junqueira-de-Azevedo, I. de L. M., Cunha, J. P. C. da, Barrera, J., et al. (2015). CETICSDB: a platform for integration and analysis of high-throughput-omics data and mathematical modeling of biochemical reactions. In Abstracts Book. São Paulo: Sociedade Brasileira de Bioquímica e Biologia Molecular (SBBq). Recuperado de http://www.sbbq.org.br/iubmb2015/cdrom/resumos/R09084-1.pdf
    • NLM

      Nishiyama Junior MY, Reis MS, Silva DF, Junqueira-de-Azevedo I de LM, Cunha JPC da, Barrera J, Iwai LK, Serrano SMT, Armelin HA. CETICSDB: a platform for integration and analysis of high-throughput-omics data and mathematical modeling of biochemical reactions [Internet]. Abstracts Book. 2015 ;[citado 2026 abr. 17 ] Available from: http://www.sbbq.org.br/iubmb2015/cdrom/resumos/R09084-1.pdf
    • Vancouver

      Nishiyama Junior MY, Reis MS, Silva DF, Junqueira-de-Azevedo I de LM, Cunha JPC da, Barrera J, Iwai LK, Serrano SMT, Armelin HA. CETICSDB: a platform for integration and analysis of high-throughput-omics data and mathematical modeling of biochemical reactions [Internet]. Abstracts Book. 2015 ;[citado 2026 abr. 17 ] Available from: http://www.sbbq.org.br/iubmb2015/cdrom/resumos/R09084-1.pdf
  • 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: 17 abr. 2026.
    • 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 2026 abr. 17 ] 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 2026 abr. 17 ] Available from: https://doi.org/10.4137/CIN.S30800

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