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Filtros : "Driver mutations" Limpar

Filtros

Tese (Doutorado)
Investigation of the use of functional interaction networks and enriched functional interaction networks in methods for identifying significant mutations applied to cancer research (2025)
Souza, Alfredo Guilherme da Silva ; Simão, Adenilso da Silva (Orientador)
Unidade: ICMC
Subjects: GENES, DNA, FENÔMENOS BIOLÓGICOS, REDES COMPLEXAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SOUZA, Alfredo Guilherme da Silva. Investigation of the use of functional interaction networks and enriched functional interaction networks in methods for identifying significant mutations applied to cancer research. 2025. Tese (Doutorado) – Universidade de São Paulo, São Carlos, 2025. Disponível em: https://www.teses.usp.br/teses/disponiveis/55/55134/tde-02092025-104234/. Acesso em: 04 jan. 2026.
APA
Souza, A. G. da S. (2025). Investigation of the use of functional interaction networks and enriched functional interaction networks in methods for identifying significant mutations applied to cancer research (Tese (Doutorado). Universidade de São Paulo, São Carlos. Recuperado de https://www.teses.usp.br/teses/disponiveis/55/55134/tde-02092025-104234/
NLM
Souza AG da S. Investigation of the use of functional interaction networks and enriched functional interaction networks in methods for identifying significant mutations applied to cancer research [Internet]. 2025 ;[citado 2026 jan. 04 ] Available from: https://www.teses.usp.br/teses/disponiveis/55/55134/tde-02092025-104234/
Vancouver
Souza AG da S. Investigation of the use of functional interaction networks and enriched functional interaction networks in methods for identifying significant mutations applied to cancer research [Internet]. 2025 ;[citado 2026 jan. 04 ] Available from: https://www.teses.usp.br/teses/disponiveis/55/55134/tde-02092025-104234/
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: 04 jan. 2026. , 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 2026 jan. 04 ] 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 2026 jan. 04 ] Available from: https://doi.org/10.1007/978-3-030-46417-2_3

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