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Trabalho de evento-anais periodico
Topological characterization of cancer driver genes using reactome super pathways networks (2021)
Ramos, Rodrigo Henrique ; Cutigi, Jorge Francisco ; Ferreira, Cynthia de Oliveira Lage ; Simão, Adenilso da Silva
Source: Lecture Notes in Bioinformatics. Conference titles: Brazilian Symposium on Bioinformatics - BSB. Unidade: ICMC
Subjects: NEOPLASIAS, BIOINFORMÁTICA, REDES COMPLEXAS, TOPOLOGIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RAMOS, Rodrigo Henrique et al. Topological characterization of cancer driver genes using reactome super pathways networks. Lecture Notes in Bioinformatics. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-91814-9_3. Acesso em: 01 nov. 2024. , 2021
APA
Ramos, R. H., Cutigi, J. F., Ferreira, C. de O. L., & Simão, A. da S. (2021). Topological characterization of cancer driver genes using reactome super pathways networks. Lecture Notes in Bioinformatics. Cham: Springer. doi:10.1007/978-3-030-91814-9_3
NLM
Ramos RH, Cutigi JF, Ferreira C de OL, Simão A da S. Topological characterization of cancer driver genes using reactome super pathways networks [Internet]. Lecture Notes in Bioinformatics. 2021 ; 13063 26-37.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1007/978-3-030-91814-9_3
Vancouver
Ramos RH, Cutigi JF, Ferreira C de OL, Simão A da S. Topological characterization of cancer driver genes using reactome super pathways networks [Internet]. Lecture Notes in Bioinformatics. 2021 ; 13063 26-37.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1007/978-3-030-91814-9_3
Trabalho de evento-anais periodico
Combining mutation and gene network data in a machine learning approach for false-positive cancer driver gene discovery (2020)
Cutigi, Jorge Francisco ; Evangelista, Renato Feijo ; Ramos, Rodrigo Henrique ; Ferreira, Cynthia de Oliveira Lage ; Evangelista, Adriane Feijó ; Carvalho, André Carlos Ponce de Leon Ferreira de ; Simão, Adenilso da Silva
Source: Lecture Notes in Bioinformatics. Conference titles: Brazilian Symposium on Bioinformatics - BSB. Unidade: ICMC
Subjects: BIOINFORMÁTICA, REDES COMPLEXAS, APRENDIZADO COMPUTACIONAL, GENÔMICA, NEOPLASIAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CUTIGI, Jorge Francisco et al. Combining mutation and gene network data in a machine learning approach for false-positive cancer driver gene discovery. Lecture Notes in Bioinformatics. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-65775-8_8. Acesso em: 01 nov. 2024. , 2020
APA
Cutigi, J. F., Evangelista, R. F., Ramos, R. H., Ferreira, C. de O. L., Evangelista, A. F., Carvalho, A. C. P. de L. F. de, & Simão, A. da S. (2020). Combining mutation and gene network data in a machine learning approach for false-positive cancer driver gene discovery. Lecture Notes in Bioinformatics. Cham: Springer. doi:10.1007/978-3-030-65775-8_8
NLM
Cutigi JF, Evangelista RF, Ramos RH, Ferreira C de OL, Evangelista AF, Carvalho ACP de LF de, Simão A da S. Combining mutation and gene network data in a machine learning approach for false-positive cancer driver gene discovery [Internet]. Lecture Notes in Bioinformatics. 2020 ; 12558 81-92.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1007/978-3-030-65775-8_8
Vancouver
Cutigi JF, Evangelista RF, Ramos RH, Ferreira C de OL, Evangelista AF, Carvalho ACP de LF de, Simão A da S. Combining mutation and gene network data in a machine learning approach for false-positive cancer driver gene discovery [Internet]. Lecture Notes in Bioinformatics. 2020 ; 12558 81-92.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1007/978-3-030-65775-8_8
Trabalho de evento-anais periodico
GeNWeMME: a network-based computational method for prioritizing groups of significant related genes in cancer (2020)
Cutigi, Jorge Francisco ; Evangelista, Adriane Feijó ; Simão, Adenilso da Silva
Source: Lecture Notes in Bioinformatics - LNBI. Conference titles: Brazilian Symposium on Bioinformatics - BSB. Unidade: ICMC
Subjects: NEOPLASIAS, MUTAÇÃO, GENÔMICA, 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. GeNWeMME: a network-based computational method for prioritizing groups of significant related genes in cancer. Lecture Notes in Bioinformatics - LNBI. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-46417-2_3. Acesso em: 01 nov. 2024. , 2020
APA
Cutigi, J. F., Evangelista, A. F., & Simão, A. da S. (2020). GeNWeMME: a network-based computational method for prioritizing groups of significant related genes in cancer. Lecture Notes in Bioinformatics - LNBI. Cham: Springer. doi:10.1007/978-3-030-46417-2_3
NLM
Cutigi JF, Evangelista AF, Simão A da S. GeNWeMME: a network-based computational method for prioritizing groups of significant related genes in cancer [Internet]. Lecture Notes in Bioinformatics - LNBI. 2020 ; 11347 29-40.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1007/978-3-030-46417-2_3
Vancouver
Cutigi JF, Evangelista AF, Simão A da S. GeNWeMME: a network-based computational method for prioritizing groups of significant related genes in cancer [Internet]. Lecture Notes in Bioinformatics - LNBI. 2020 ; 11347 29-40.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1007/978-3-030-46417-2_3

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