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: 06 jun. 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/s41598-021-02671-8NLM
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 jun. 06 ] Available from: https://doi.org/10.1038/s41598-021-02671-8Vancouver
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 jun. 06 ] Available from: https://doi.org/10.1038/s41598-021-02671-8
