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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: 18 abr. 2026.
APA
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
NLM
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. 18 ] 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. 18 ] Available from: https://doi.org/10.1038/s42256-024-00842-6
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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: 18 abr. 2026. , 2024
APA
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
NLM
Marcondes D, Feldman M de S, Barrera J. An algorithm to train unrestricted sequential discrete morphological neural networks [Internet]. Proceedings. 2024 ;[citado 2026 abr. 18 ] 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. 18 ] Available from: https://doi.org/10.1007/978-3-031-57793-2_14
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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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: 18 abr. 2026. , 2024
APA
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
NLM
Marcondes D, Barrera J. The lattice overparametrization paradigm for the machine learning of lattice operators [Internet]. Proceedings. 2024 ;[citado 2026 abr. 18 ] 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. 18 ] Available from: https://doi.org/10.1007/978-3-031-57793-2_16
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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: 18 abr. 2026.
APA
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
NLM
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. 18 ] 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. 18 ] Available from: https://doi.org/10.1007/s40863-022-00303-1
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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: 18 abr. 2026. , 2022
APA
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
NLM
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. 18 ] 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. 18 ] Available from: https://doi.org/10.1007/s40863-022-00307-x
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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: 18 abr. 2026.
APA
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
NLM
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. 18 ] 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. 18 ] Available from: https://doi.org/10.3390/e22040492
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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: 18 abr. 2026.
APA
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
NLM
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. 18 ] 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. 18 ] Available from: https://doi.org/10.7752/jpes.2020.03179
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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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: 18 abr. 2026.
APA
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
NLM
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. 18 ] 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. 18 ] Available from: https://doi.org/10.1016/j.ins.2018.08.060
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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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: 18 abr. 2026.
APA
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
NLM
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. 18 ] 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. 18 ] Available from: https://doi.org/10.1007/978-3-319-91143-4_5
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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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: 18 abr. 2026.
APA
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
NLM
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. 18 ] 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. 18 ] Available from: https://doi.org/10.1371/journal.pone.0191431
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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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: 18 abr. 2026. , 2018
APA
Marcondes, D., Simonis, A., & Barrera, J. (2018). Feature selection based on the Local Lift Dependence scale. Entropy. Basel: MDPI. doi:10.3390/e20020097
NLM
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. 18 ] 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. 18 ] Available from: https://doi.org/10.3390/e20020097
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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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: 18 abr. 2026.
APA
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
NLM
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. 18 ] 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. 18 ] Available from: https://doi.org/10.1038/s41598-018-33420-z
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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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: 18 abr. 2026.
APA
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
NLM
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. 18 ] 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. 18 ] Available from: https://doi.org/10.1016/j.patcog.2017.08.013
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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REIS, Marcelo da Silva et al. An interdisciplinary approach for designing kinetic models of the Ras/MAPK signaling pathway. Kinase signaling networks. Tradução . New York: Humana Press, 2017. . Disponível em: https://doi.org/10.1007/978-1-4939-7154-1_28. Acesso em: 18 abr. 2026.
APA
Reis, M. da S., Noël, V., Dias, M. H., Albuquerque, L. L., Guimarães, A. S., Wu, L., et al. (2017). An interdisciplinary approach for designing kinetic models of the Ras/MAPK signaling pathway. In Kinase signaling networks. New York: Humana Press. doi:10.1007/978-1-4939-7154-1_28
NLM
Reis M da S, Noël V, Dias MH, Albuquerque LL, Guimarães AS, Wu L, Barrera J, Armelin HA. An interdisciplinary approach for designing kinetic models of the Ras/MAPK signaling pathway [Internet]. In: Kinase signaling networks. New York: Humana Press; 2017. [citado 2026 abr. 18 ] Available from: https://doi.org/10.1007/978-1-4939-7154-1_28
Vancouver
Reis M da S, Noël V, Dias MH, Albuquerque LL, Guimarães AS, Wu L, Barrera J, Armelin HA. An interdisciplinary approach for designing kinetic models of the Ras/MAPK signaling pathway [Internet]. In: Kinase signaling networks. New York: Humana Press; 2017. [citado 2026 abr. 18 ] Available from: https://doi.org/10.1007/978-1-4939-7154-1_28
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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REIS, Marcelo da Silva et al. featsel: a framework for benchmarking of feature selection algorithms and cost functions. SoftwareX, v. 6, p. 193-197, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.softx.2017.07.005. Acesso em: 18 abr. 2026.
APA
Reis, M. da S., Estrela, G., Ferreira, C. E., & Barrera, J. (2017). featsel: a framework for benchmarking of feature selection algorithms and cost functions. SoftwareX, 6, 193-197. doi:10.1016/j.softx.2017.07.005
NLM
Reis M da S, Estrela G, Ferreira CE, Barrera J. featsel: a framework for benchmarking of feature selection algorithms and cost functions [Internet]. SoftwareX. 2017 ; 6 193-197.[citado 2026 abr. 18 ] Available from: https://doi.org/10.1016/j.softx.2017.07.005
Vancouver
Reis M da S, Estrela G, Ferreira CE, Barrera J. featsel: a framework for benchmarking of feature selection algorithms and cost functions [Internet]. SoftwareX. 2017 ; 6 193-197.[citado 2026 abr. 18 ] Available from: https://doi.org/10.1016/j.softx.2017.07.005
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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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: 18 abr. 2026.
APA
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
NLM
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. 18 ] 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. 18 ] Available from: http://co.mbine.org/events/COMBINE_2016/abstracts
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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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: 18 abr. 2026.
APA
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
NLM
Lamas L, Otranto G, Barrera J. Computational system for strategy design and match simulation in team sports [Internet]. Proceedings. 2016 ;[citado 2026 abr. 18 ] 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. 18 ] Available from: https://doi.org/10.1007/978-3-319-24560-7_9
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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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: 18 abr. 2026.
APA
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
NLM
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. 18 ] 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. 18 ] Available from: https://f1000research.com/posters/1095384
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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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: 18 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. 18 ] 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. 18 ] Available from: http://www.sbbq.org.br/iubmb2015/cdrom/resumos/R09084-1.pdf