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Artigo de periodico
Totoro: identifying active reactions during the transient state for metabolic perturbations (2022)
Ferrarini, Mariana Galvão ; Ziska, Irene; Andrade, Ricardo; Julien-Laferrière, Alice ; Duchemin, Louis ; César Júnior, Roberto Marcondes ; Mary, Arnaud ; Vinga, Susana ; Sagot, Marie-France
Fonte: Frontiers in Genetics. Unidade: IME
Assuntos: BIOINFORMÁTICA, METABOLÔMICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FERRARINI, Mariana Galvão et al. Totoro: identifying active reactions during the transient state for metabolic perturbations. Frontiers in Genetics, v. 13, 2022Tradução . . Disponível em: https://doi.org/10.3389/fgene.2022.815476. Acesso em: 03 jun. 2024.
APA
Ferrarini, M. G., Ziska, I., Andrade, R., Julien-Laferrière, A., Duchemin, L., César Júnior, R. M., et al. (2022). Totoro: identifying active reactions during the transient state for metabolic perturbations. Frontiers in Genetics, 13. doi:10.3389/fgene.2022.815476
NLM
Ferrarini MG, Ziska I, Andrade R, Julien-Laferrière A, Duchemin L, César Júnior RM, Mary A, Vinga S, Sagot M-F. Totoro: identifying active reactions during the transient state for metabolic perturbations [Internet]. Frontiers in Genetics. 2022 ; 13[citado 2024 jun. 03 ] Available from: https://doi.org/10.3389/fgene.2022.815476
Vancouver
Ferrarini MG, Ziska I, Andrade R, Julien-Laferrière A, Duchemin L, César Júnior RM, Mary A, Vinga S, Sagot M-F. Totoro: identifying active reactions during the transient state for metabolic perturbations [Internet]. Frontiers in Genetics. 2022 ; 13[citado 2024 jun. 03 ] Available from: https://doi.org/10.3389/fgene.2022.815476
Artigo de periodico
CHD7 promotes glioblastoma cell motility and invasiveness through transcriptional modulation of an invasion signature (2019)
Machado, Raquel Arminda Carvalho ; Schneider, Hannah; DeOcesano-Pereira, Carlos ; Lichtenstein, Flávio ; Andrade, Fernando; Fujita, André ; Lima, Marina Trombetta ; Weller, Michael; Bowman-Colin, Christian ; Sogayar, Mari Cleide
Fonte: Scientific Reports. Unidades: IME, IQ, FM
Assunto: BIOINFORMÁTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MACHADO, Raquel Arminda Carvalho et al. CHD7 promotes glioblastoma cell motility and invasiveness through transcriptional modulation of an invasion signature. Scientific Reports, v. 9, p. 1-13 art. 3952, 2019Tradução . . Disponível em: https://doi.org/10.1038/s41598-019-39564-w. Acesso em: 03 jun. 2024.
APA
Machado, R. A. C., Schneider, H., DeOcesano-Pereira, C., Lichtenstein, F., Andrade, F., Fujita, A., et al. (2019). CHD7 promotes glioblastoma cell motility and invasiveness through transcriptional modulation of an invasion signature. Scientific Reports, 9, 1-13 art. 3952. doi:10.1038/s41598-019-39564-w
NLM
Machado RAC, Schneider H, DeOcesano-Pereira C, Lichtenstein F, Andrade F, Fujita A, Lima MT, Weller M, Bowman-Colin C, Sogayar MC. CHD7 promotes glioblastoma cell motility and invasiveness through transcriptional modulation of an invasion signature [Internet]. Scientific Reports. 2019 ; 9 1-13 art. 3952.[citado 2024 jun. 03 ] Available from: https://doi.org/10.1038/s41598-019-39564-w
Vancouver
Machado RAC, Schneider H, DeOcesano-Pereira C, Lichtenstein F, Andrade F, Fujita A, Lima MT, Weller M, Bowman-Colin C, Sogayar MC. CHD7 promotes glioblastoma cell motility and invasiveness through transcriptional modulation of an invasion signature [Internet]. Scientific Reports. 2019 ; 9 1-13 art. 3952.[citado 2024 jun. 03 ] Available from: https://doi.org/10.1038/s41598-019-39564-w
Trabalho de evento
A Monte Carlo approach to measure the robustness of Boolean networks (2012)
Louzada, Vitor Hugo; Lopes, Fabrício M; Hashimoto, Ronaldo Fumio
Fonte: Proceedings. Nome do evento: ACM International Conference on Bioinformatics, Computational Biology and Biomedicine - BCB' 12. Unidade: IME
Assuntos: ÁLGEBRAS DE BOOLE, BIOINFORMÁTICA, MATEMÁTICA DA COMPUTAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LOUZADA, Vitor Hugo e LOPES, Fabrício M e HASHIMOTO, Ronaldo Fumio. A Monte Carlo approach to measure the robustness of Boolean networks. 2012, Anais.. New York: ACM, 2012. Disponível em: https://doi.org/10.1145/2382936.2383062. Acesso em: 03 jun. 2024.
APA
Louzada, V. H., Lopes, F. M., & Hashimoto, R. F. (2012). A Monte Carlo approach to measure the robustness of Boolean networks. In Proceedings. New York: ACM. doi:10.1145/2382936.2383062
NLM
Louzada VH, Lopes FM, Hashimoto RF. A Monte Carlo approach to measure the robustness of Boolean networks [Internet]. Proceedings. 2012 ;[citado 2024 jun. 03 ] Available from: https://doi.org/10.1145/2382936.2383062
Vancouver
Louzada VH, Lopes FM, Hashimoto RF. A Monte Carlo approach to measure the robustness of Boolean networks [Internet]. Proceedings. 2012 ;[citado 2024 jun. 03 ] Available from: https://doi.org/10.1145/2382936.2383062

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