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Artigo de periodico
Protein residue network analysis reveals fundamental properties of the human coagulation factor VIII (2021)
Lopes, Tiago José da Silva ; Rios, Ricardo Araújo ; Nogueira, Tatiane ; Mello, Rodrigo Fernandes de
Source: Scientific Reports. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, BIOINFORMÁTICA, HEMOFILIA, PROTEÍNAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LOPES, Tiago José da Silva et al. Protein residue network analysis reveals fundamental properties of the human coagulation factor VIII. Scientific Reports, v. 11, p. 1-11, 2021Tradução . . Disponível em: https://doi.org/10.1038/s41598-021-92201-3. Acesso em: 20 jun. 2024.
APA
Lopes, T. J. da S., Rios, R. A., Nogueira, T., & Mello, R. F. de. (2021). Protein residue network analysis reveals fundamental properties of the human coagulation factor VIII. Scientific Reports, 11, 1-11. doi:10.1038/s41598-021-92201-3
NLM
Lopes TJ da S, Rios RA, Nogueira T, Mello RF de. Protein residue network analysis reveals fundamental properties of the human coagulation factor VIII [Internet]. Scientific Reports. 2021 ; 11 1-11.[citado 2024 jun. 20 ] Available from: https://doi.org/10.1038/s41598-021-92201-3
Vancouver
Lopes TJ da S, Rios RA, Nogueira T, Mello RF de. Protein residue network analysis reveals fundamental properties of the human coagulation factor VIII [Internet]. Scientific Reports. 2021 ; 11 1-11.[citado 2024 jun. 20 ] Available from: https://doi.org/10.1038/s41598-021-92201-3
Artigo de periodico
Using fuzzy clustering to address imprecision and uncertainty present in deterministic components of time series (2021)
Ferreira, Marcos Vinícius dos Santos; Rios, Ricardo Araújo ; Mello, Rodrigo Fernandes de ; Rios, Tatiane Nogueira
Source: Applied Soft Computing. Unidade: ICMC
Subjects: ANÁLISE DE SÉRIES TEMPORAIS, FUZZY (INTELIGÊNCIA ARTIFICIAL)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FERREIRA, Marcos Vinícius dos Santos et al. Using fuzzy clustering to address imprecision and uncertainty present in deterministic components of time series. Applied Soft Computing, v. 113, p. 1-13, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2021.108011. Acesso em: 20 jun. 2024.
APA
Ferreira, M. V. dos S., Rios, R. A., Mello, R. F. de, & Rios, T. N. (2021). Using fuzzy clustering to address imprecision and uncertainty present in deterministic components of time series. Applied Soft Computing, 113, 1-13. doi:10.1016/j.asoc.2021.108011
NLM
Ferreira MV dos S, Rios RA, Mello RF de, Rios TN. Using fuzzy clustering to address imprecision and uncertainty present in deterministic components of time series [Internet]. Applied Soft Computing. 2021 ; 113 1-13.[citado 2024 jun. 20 ] Available from: https://doi.org/10.1016/j.asoc.2021.108011
Vancouver
Ferreira MV dos S, Rios RA, Mello RF de, Rios TN. Using fuzzy clustering to address imprecision and uncertainty present in deterministic components of time series [Internet]. Applied Soft Computing. 2021 ; 113 1-13.[citado 2024 jun. 20 ] Available from: https://doi.org/10.1016/j.asoc.2021.108011
Artigo de periodico
Prediction of hemophilia A severity using a small-input machine-learning framework (2021)
Lopes, Tiago José da Silva ; Rios, Ricardo Araújo ; Nogueira, Tatiane ; Mello, Rodrigo Fernandes de
Source: npj Systems Biology and Applications. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, BIOINFORMÁTICA, HEMOFILIA, PROTEÍNAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LOPES, Tiago José da Silva et al. Prediction of hemophilia A severity using a small-input machine-learning framework. npj Systems Biology and Applications, v. 7, p. 1-8, 2021Tradução . . Disponível em: https://doi.org/10.1038/s41540-021-00183-9. Acesso em: 20 jun. 2024.
APA
Lopes, T. J. da S., Rios, R. A., Nogueira, T., & Mello, R. F. de. (2021). Prediction of hemophilia A severity using a small-input machine-learning framework. npj Systems Biology and Applications, 7, 1-8. doi:10.1038/s41540-021-00183-9
NLM
Lopes TJ da S, Rios RA, Nogueira T, Mello RF de. Prediction of hemophilia A severity using a small-input machine-learning framework [Internet]. npj Systems Biology and Applications. 2021 ; 7 1-8.[citado 2024 jun. 20 ] Available from: https://doi.org/10.1038/s41540-021-00183-9
Vancouver
Lopes TJ da S, Rios RA, Nogueira T, Mello RF de. Prediction of hemophilia A severity using a small-input machine-learning framework [Internet]. npj Systems Biology and Applications. 2021 ; 7 1-8.[citado 2024 jun. 20 ] Available from: https://doi.org/10.1038/s41540-021-00183-9

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