Source: BMC Bioinformatics. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
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: 12 nov. 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:10.1186/1471-2105-13-310NLM
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 nov. 12 ] Available from: https://doi.org/10.1186/1471-2105-13-310Vancouver
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 nov. 12 ] Available from: https://doi.org/10.1186/1471-2105-13-310