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Filtros : "ICMC-SSC" "Financiamento CEPID-FAPESP" Removidos: "quc" "1948" "1990" "2012" Limpar

Filtros

USP affiliated authors
- cutigi, jorge francisco (1)
- delbem, alexandre cláudio botazzo (1)
- ghodratitoostani, iman (1)
- hyppolito, miguel angelo (1)
- leite, joão pereira (1)

Artigo de periodico
Conceptual framework for insomnia: a cognitive model in practice (2021)
Vaziri, Zahra ; Nami, Mohammad ; Leite, João Pereira ; Delbem, Alexandre Cláudio Botazzo ; Hyppolito, Miguel Angelo ; Ghodratitoostani, Iman
Source: Frontiers in Neuroscience. Unidades: FMRP, ICMC, BIOENGENHARIA
Subjects: INSÔNIA, CONCEITOS (PROCESSOS COGNITIVOS), BANCO DE DADOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
VAZIRI, Zahra et al. Conceptual framework for insomnia: a cognitive model in practice. Frontiers in Neuroscience, v. 15, p. 1-13, 2021Tradução . . Disponível em: https://doi.org/10.3389/fnins.2021.628836. Acesso em: 14 set. 2024.
APA
Vaziri, Z., Nami, M., Leite, J. P., Delbem, A. C. B., Hyppolito, M. A., & Ghodratitoostani, I. (2021). Conceptual framework for insomnia: a cognitive model in practice. Frontiers in Neuroscience, 15, 1-13. doi:10.3389/fnins.2021.628836
NLM
Vaziri Z, Nami M, Leite JP, Delbem ACB, Hyppolito MA, Ghodratitoostani I. Conceptual framework for insomnia: a cognitive model in practice [Internet]. Frontiers in Neuroscience. 2021 ; 15 1-13.[citado 2024 set. 14 ] Available from: https://doi.org/10.3389/fnins.2021.628836
Vancouver
Vaziri Z, Nami M, Leite JP, Delbem ACB, Hyppolito MA, Ghodratitoostani I. Conceptual framework for insomnia: a cognitive model in practice [Internet]. Frontiers in Neuroscience. 2021 ; 15 1-13.[citado 2024 set. 14 ] Available from: https://doi.org/10.3389/fnins.2021.628836
Artigo de periodico
A computational approach for the discovery of significant cancer genes by weighted mutation and asymmetric spreading strength in networks (2021)
Cutigi, Jorge Francisco ; Evangelista, Adriane Feijó ; Reis, Rui Manuel Vieira ; Simão, Adenilso da Silva
Source: Scientific Reports. Unidade: ICMC
Subjects: BIOINFORMÁTICA, GENÔMICA, NEOPLASIAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CUTIGI, Jorge Francisco et al. A computational approach for the discovery of significant cancer genes by weighted mutation and asymmetric spreading strength in networks. Scientific Reports, v. 11, p. 1-10, 2021Tradução . . Disponível em: https://doi.org/10.1038/s41598-021-02671-8. Acesso em: 14 set. 2024.
APA
Cutigi, J. F., Evangelista, A. F., Reis, R. M. V., & Simão, A. da S. (2021). A computational approach for the discovery of significant cancer genes by weighted mutation and asymmetric spreading strength in networks. Scientific Reports, 11, 1-10. doi:10.1038/s41598-021-02671-8
NLM
Cutigi JF, Evangelista AF, Reis RMV, Simão A da S. A computational approach for the discovery of significant cancer genes by weighted mutation and asymmetric spreading strength in networks [Internet]. Scientific Reports. 2021 ; 11 1-10.[citado 2024 set. 14 ] Available from: https://doi.org/10.1038/s41598-021-02671-8
Vancouver
Cutigi JF, Evangelista AF, Reis RMV, Simão A da S. A computational approach for the discovery of significant cancer genes by weighted mutation and asymmetric spreading strength in networks [Internet]. Scientific Reports. 2021 ; 11 1-10.[citado 2024 set. 14 ] Available from: https://doi.org/10.1038/s41598-021-02671-8

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