Source: Journal of Bioinformatics and Computational Biology. Unidade: ICMC
Subjects: NEOPLASIAS, MUTAÇÃO GENÉTICA, BIOINFORMÁTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CUTIGI, Jorge Francisco e EVANGELISTA, Adriane Feijó e SIMÃO, Adenilso da Silva. Approaches for the identification of driver mutations in cancer: a tutorial from a computational perspective. Journal of Bioinformatics and Computational Biology, v. 18, n. 3, p. 2050016-1-2050016-32, 2020Tradução . . Disponível em: https://doi.org/10.1142/S021972002050016X. Acesso em: 18 out. 2024.APA
Cutigi, J. F., Evangelista, A. F., & Simão, A. da S. (2020). Approaches for the identification of driver mutations in cancer: a tutorial from a computational perspective. Journal of Bioinformatics and Computational Biology, 18( 3), 2050016-1-2050016-32. doi:10.1142/S021972002050016XNLM
Cutigi JF, Evangelista AF, Simão A da S. Approaches for the identification of driver mutations in cancer: a tutorial from a computational perspective [Internet]. Journal of Bioinformatics and Computational Biology. 2020 ; 18( 3): 2050016-1-2050016-32.[citado 2024 out. 18 ] Available from: https://doi.org/10.1142/S021972002050016XVancouver
Cutigi JF, Evangelista AF, Simão A da S. Approaches for the identification of driver mutations in cancer: a tutorial from a computational perspective [Internet]. Journal of Bioinformatics and Computational Biology. 2020 ; 18( 3): 2050016-1-2050016-32.[citado 2024 out. 18 ] Available from: https://doi.org/10.1142/S021972002050016X