Pimenta-Zanon, Matheus H. 
; de Souza, Vinicius Augusto; Hashimoto, Ronaldo Fumio ; Lopes, Fabricio Martins
Source: Ambient intelligence in health care : proceedings. Conference titles: International Conference on Ambient Intelligence in Health Care - ICAIHC. Unidade: IME
Subjects: REDES COMPLEXAS, ENTROPIA, COVID-19, ANÁLISE SEQUENCIAL, BIOINFORMÁTICA, RECONHECIMENTO DE PADRÕES
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PIMENTA-ZANON, Matheus H. et al. Biological sequence analysis using complex networks and entropy maximization: a case study in SARS-CoV-2. 2023, Anais.. Heidelberg: Springer, 2023. Disponível em: https://doi.org/10.1007/978-981-19-6068-0_44. Acesso em: 27 abr. 2024.APA
Pimenta-Zanon, M. H., de Souza, V. A., Hashimoto, R. F., & Lopes, F. M. (2023). Biological sequence analysis using complex networks and entropy maximization: a case study in SARS-CoV-2. In Ambient intelligence in health care : proceedings. Heidelberg: Springer. doi:10.1007/978-981-19-6068-0_44NLM
Pimenta-Zanon MH, de Souza VA, Hashimoto RF, Lopes FM. Biological sequence analysis using complex networks and entropy maximization: a case study in SARS-CoV-2 [Internet]. Ambient intelligence in health care : proceedings. 2023 ;[citado 2024 abr. 27 ] Available from: https://doi.org/10.1007/978-981-19-6068-0_44Vancouver
Pimenta-Zanon MH, de Souza VA, Hashimoto RF, Lopes FM. Biological sequence analysis using complex networks and entropy maximization: a case study in SARS-CoV-2 [Internet]. Ambient intelligence in health care : proceedings. 2023 ;[citado 2024 abr. 27 ] Available from: https://doi.org/10.1007/978-981-19-6068-0_44
