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Filtros : "Ruiz, Duncan D" Limpar

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Trabalho de evento
P-SaMI: a data-flow pattern to perform massively-parallel molecular docking experiments using a fully-flexible receptor model (2015)
Hübler, Patricia; Ruiz, Duncan D; Ferreira, João Eduardo ; Souza, Osmar Norberto de
Source: Proceedings. Conference titles: ACM SIGAPP Symposium on on Applied Computing - SAC. Unidade: IME
Subjects: BIOINFORMÁTICA, ALGORITMOS, BIOLOGIA MOLECULAR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
HÜBLER, Patricia et al. P-SaMI: a data-flow pattern to perform massively-parallel molecular docking experiments using a fully-flexible receptor model. 2015, Anais.. New York: ACM, 2015. Disponível em: https://doi.org/10.1145/2695664.2695962. Acesso em: 21 maio 2024.
APA
Hübler, P., Ruiz, D. D., Ferreira, J. E., & Souza, O. N. de. (2015). P-SaMI: a data-flow pattern to perform massively-parallel molecular docking experiments using a fully-flexible receptor model. In Proceedings. New York: ACM. doi:10.1145/2695664.2695962
NLM
Hübler P, Ruiz DD, Ferreira JE, Souza ON de. P-SaMI: a data-flow pattern to perform massively-parallel molecular docking experiments using a fully-flexible receptor model [Internet]. Proceedings. 2015 ;[citado 2024 maio 21 ] Available from: https://doi.org/10.1145/2695664.2695962
Vancouver
Hübler P, Ruiz DD, Ferreira JE, Souza ON de. P-SaMI: a data-flow pattern to perform massively-parallel molecular docking experiments using a fully-flexible receptor model [Internet]. Proceedings. 2015 ;[citado 2024 maio 21 ] Available from: https://doi.org/10.1145/2695664.2695962
Artigo de periodico
Automatic design of decision-tree induction algorithms tailored to flexible-receptor docking data (2012)
Barros, Rodrigo C; Winck, Ana T; Machado, Karina S; Basgalupp, Márcio P; Carvalho, André Carlos Ponce de Leon Ferreira de ; Ruiz, Duncan D; Souza, Osmar Norberto de
Source: BMC Bioinformatics. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BARROS, Rodrigo C et al. Automatic design of decision-tree induction algorithms tailored to flexible-receptor docking data. BMC Bioinformatics, v. no 2012, n. 1, p. 310-1-310-24, 2012Tradução . . Disponível em: https://doi.org/10.1186/1471-2105-13-310. Acesso em: 21 maio 2024.
APA
Barros, R. C., Winck, A. T., Machado, K. S., Basgalupp, M. P., Carvalho, A. C. P. de L. F. de, Ruiz, D. D., & Souza, O. N. de. (2012). Automatic design of decision-tree induction algorithms tailored to flexible-receptor docking data. BMC Bioinformatics, no 2012( 1), 310-1-310-24. doi:10.1186/1471-2105-13-310
NLM
Barros RC, Winck AT, Machado KS, Basgalupp MP, Carvalho ACP de LF de, Ruiz DD, Souza ON de. Automatic design of decision-tree induction algorithms tailored to flexible-receptor docking data [Internet]. BMC Bioinformatics. 2012 ; no 2012( 1): 310-1-310-24.[citado 2024 maio 21 ] Available from: https://doi.org/10.1186/1471-2105-13-310
Vancouver
Barros RC, Winck AT, Machado KS, Basgalupp MP, Carvalho ACP de LF de, Ruiz DD, Souza ON de. Automatic design of decision-tree induction algorithms tailored to flexible-receptor docking data [Internet]. BMC Bioinformatics. 2012 ; no 2012( 1): 310-1-310-24.[citado 2024 maio 21 ] Available from: https://doi.org/10.1186/1471-2105-13-310

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