ReP USP - Resultado da busca

Trabalho de evento-resumo
Mathematical modeling of RAs/MAPK signalling network kinetics provides insights into mechanisms of FGF2-induced cell cycle arrest in the K-K-ras-driven mouse Y1 adrenocortical tumor cells (2014)
Reis, Marcelo da Silva ; Dias, Matheus Henrique dos Santos; Nakano, Fábio ; Barrera, Júnior; Armelin, Hugo Aguirre
Source: Abstracts. Conference titles: Annual International Conference on Research in Computational Molecular Biology - RECOMB. Unidades: EACH, IME, IQ
Assunto: COMPUTAÇÃO APLICADA
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ABNT
REIS, Marcelo da Silva et al. Mathematical modeling of RAs/MAPK signalling network kinetics provides insights into mechanisms of FGF2-induced cell cycle arrest in the K-K-ras-driven mouse Y1 adrenocortical tumor cells. 2014, Anais.. München: Max-Planck-Gesellschaft, 2014. Disponível em: https://f1000research.com/posters/1095383. Acesso em: 21 out. 2024.
APA
Reis, M. da S., Dias, M. H. dos S., Nakano, F., Barrera, J., & Armelin, H. A. (2014). Mathematical modeling of RAs/MAPK signalling network kinetics provides insights into mechanisms of FGF2-induced cell cycle arrest in the K-K-ras-driven mouse Y1 adrenocortical tumor cells. In Abstracts. München: Max-Planck-Gesellschaft. Recuperado de https://f1000research.com/posters/1095383
NLM
Reis M da S, Dias MH dos S, Nakano F, Barrera J, Armelin HA. Mathematical modeling of RAs/MAPK signalling network kinetics provides insights into mechanisms of FGF2-induced cell cycle arrest in the K-K-ras-driven mouse Y1 adrenocortical tumor cells [Internet]. Abstracts. 2014 ;[citado 2024 out. 21 ] Available from: https://f1000research.com/posters/1095383
Vancouver
Reis M da S, Dias MH dos S, Nakano F, Barrera J, Armelin HA. Mathematical modeling of RAs/MAPK signalling network kinetics provides insights into mechanisms of FGF2-induced cell cycle arrest in the K-K-ras-driven mouse Y1 adrenocortical tumor cells [Internet]. Abstracts. 2014 ;[citado 2024 out. 21 ] Available from: https://f1000research.com/posters/1095383
Trabalho de evento-resumo
Mathematical modeling of the Ras/MAPK and PI3K/AKT signaling networks in the K-Ras-driven mouse Y1 adrenocortical tumor cells (2014)
Reis, Marcelo da Silva ; Dias, M. H. S; Nakano, Fabio; Barrera, Júnior; Armelin, Hugo Aguirre
Source: Program and Index. Conference titles: Annual Meeting of the Brazilian Biochemistry and Molecular Biology Society (SBBq). Unidades: EACH, IME, IQ
Subjects: FIBROBLASTOS, CÉLULAS CULTIVADAS DE TUMOR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
REIS, Marcelo da Silva et al. Mathematical modeling of the Ras/MAPK and PI3K/AKT signaling networks in the K-Ras-driven mouse Y1 adrenocortical tumor cells. 2014, Anais.. São Paulo: Sociedade Brasileira de Bioquímica e Biologia Molecular (SBBq), 2014. Disponível em: http://www.sigeventos.com.br/sbbq/cd/2014/resumos/R08802-1.pdf. Acesso em: 21 out. 2024.
APA
Reis, M. da S., Dias, M. H. S., Nakano, F., Barrera, J., & Armelin, H. A. (2014). Mathematical modeling of the Ras/MAPK and PI3K/AKT signaling networks in the K-Ras-driven mouse Y1 adrenocortical tumor cells. In Program and Index. São Paulo: Sociedade Brasileira de Bioquímica e Biologia Molecular (SBBq). Recuperado de http://www.sigeventos.com.br/sbbq/cd/2014/resumos/R08802-1.pdf
NLM
Reis M da S, Dias MHS, Nakano F, Barrera J, Armelin HA. Mathematical modeling of the Ras/MAPK and PI3K/AKT signaling networks in the K-Ras-driven mouse Y1 adrenocortical tumor cells [Internet]. Program and Index. 2014 ;[citado 2024 out. 21 ] Available from: http://www.sigeventos.com.br/sbbq/cd/2014/resumos/R08802-1.pdf
Vancouver
Reis M da S, Dias MHS, Nakano F, Barrera J, Armelin HA. Mathematical modeling of the Ras/MAPK and PI3K/AKT signaling networks in the K-Ras-driven mouse Y1 adrenocortical tumor cells [Internet]. Program and Index. 2014 ;[citado 2024 out. 21 ] Available from: http://www.sigeventos.com.br/sbbq/cd/2014/resumos/R08802-1.pdf
Trabalho de evento-resumo
Modeling the kinetics of Ras/MAPK and PI3K/AKT signaling pathways in the K-Ras-driven mouse Y1 adrenocortical tumor cells: novel insights into the mechanisms of FGF2-driven cell cycle arrest (2014)
Reis, Marcelo da Silva ; Dias, Matheus H. S; Nakano, Fábio ; Nöel, Vincent; Barrera, Júnior; Armelin, Hugo Aguirre
Source: Program and Index. Conference titles: Annual Meeting of the Brazilian Biochemistry and Molecular Biology Society (SBBq). Unidades: EACH, IME, IQ
Assunto: COMPUTAÇÃO APLICADA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
REIS, Marcelo da Silva et al. Modeling the kinetics of Ras/MAPK and PI3K/AKT signaling pathways in the K-Ras-driven mouse Y1 adrenocortical tumor cells: novel insights into the mechanisms of FGF2-driven cell cycle arrest. 2014, Anais.. São Paulo: Sociedade Brasileira de Bioquímica e Biologia Molecular (SBBq), 2014. Disponível em: https://f1000research.com/posters/1095752. Acesso em: 21 out. 2024.
APA
Reis, M. da S., Dias, M. H. S., Nakano, F., Nöel, V., Barrera, J., & Armelin, H. A. (2014). Modeling the kinetics of Ras/MAPK and PI3K/AKT signaling pathways in the K-Ras-driven mouse Y1 adrenocortical tumor cells: novel insights into the mechanisms of FGF2-driven cell cycle arrest. In Program and Index. São Paulo: Sociedade Brasileira de Bioquímica e Biologia Molecular (SBBq). Recuperado de https://f1000research.com/posters/1095752
NLM
Reis M da S, Dias MHS, Nakano F, Nöel V, Barrera J, Armelin HA. Modeling the kinetics of Ras/MAPK and PI3K/AKT signaling pathways in the K-Ras-driven mouse Y1 adrenocortical tumor cells: novel insights into the mechanisms of FGF2-driven cell cycle arrest [Internet]. Program and Index. 2014 ;[citado 2024 out. 21 ] Available from: https://f1000research.com/posters/1095752
Vancouver
Reis M da S, Dias MHS, Nakano F, Nöel V, Barrera J, Armelin HA. Modeling the kinetics of Ras/MAPK and PI3K/AKT signaling pathways in the K-Ras-driven mouse Y1 adrenocortical tumor cells: novel insights into the mechanisms of FGF2-driven cell cycle arrest [Internet]. Program and Index. 2014 ;[citado 2024 out. 21 ] Available from: https://f1000research.com/posters/1095752
Parte de monografia/livro
Hierarchical forecasting with polynomial nets (2009)
Lauretto, Marcelo de Souza ; Nakano, Fábio ; Pereira, Carlos Alberto de Bragança ; Stern, Julio Michael
Source: New advances in intelligent decision technologies. Unidades: EACH, IME, IQ
Assunto: PROGRAMAÇÃO GENÉTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LAURETTO, Marcelo de Souza et al. Hierarchical forecasting with polynomial nets. New advances in intelligent decision technologies. Tradução . Berlin: Springer, 2009. . Disponível em: https://doi.org/10.1007/978-3-642-00909-9_30. Acesso em: 21 out. 2024.
APA
Lauretto, M. de S., Nakano, F., Pereira, C. A. de B., & Stern, J. M. (2009). Hierarchical forecasting with polynomial nets. In New advances in intelligent decision technologies. Berlin: Springer. doi:10.1007/978-3-642-00909-9_30
NLM
Lauretto M de S, Nakano F, Pereira CA de B, Stern JM. Hierarchical forecasting with polynomial nets [Internet]. In: New advances in intelligent decision technologies. Berlin: Springer; 2009. [citado 2024 out. 21 ] Available from: https://doi.org/10.1007/978-3-642-00909-9_30
Vancouver
Lauretto M de S, Nakano F, Pereira CA de B, Stern JM. Hierarchical forecasting with polynomial nets [Internet]. In: New advances in intelligent decision technologies. Berlin: Springer; 2009. [citado 2024 out. 21 ] Available from: https://doi.org/10.1007/978-3-642-00909-9_30
Artigo de periodico
A straightforward multiallelic significance test for the Hardy-Weinberg equilibrium law (2009)
Lauretto, Marcelo de Souza; Nakano, Fábio; Faria Junior, Silvio Rodrigues; Pereira, Carlos Alberto de Bragança ; Stern, Julio Michael
Source: Genetics and Molecular Biology. Unidades: EACH, IME, IQ
Subjects: GENÉTICA, INFERÊNCIA BAYESIANA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LAURETTO, Marcelo de Souza et al. A straightforward multiallelic significance test for the Hardy-Weinberg equilibrium law. Genetics and Molecular Biology, v. 32, n. 3, p. 619-625, 2009Tradução . . Disponível em: https://doi.org/10.1590/S1415-47572009000300028. Acesso em: 21 out. 2024.
APA
Lauretto, M. de S., Nakano, F., Faria Junior, S. R., Pereira, C. A. de B., & Stern, J. M. (2009). A straightforward multiallelic significance test for the Hardy-Weinberg equilibrium law. Genetics and Molecular Biology, 32( 3), 619-625. doi:10.1590/S1415-47572009000300028
NLM
Lauretto M de S, Nakano F, Faria Junior SR, Pereira CA de B, Stern JM. A straightforward multiallelic significance test for the Hardy-Weinberg equilibrium law [Internet]. Genetics and Molecular Biology. 2009 ; 32( 3): 619-625.[citado 2024 out. 21 ] Available from: https://doi.org/10.1590/S1415-47572009000300028
Vancouver
Lauretto M de S, Nakano F, Faria Junior SR, Pereira CA de B, Stern JM. A straightforward multiallelic significance test for the Hardy-Weinberg equilibrium law [Internet]. Genetics and Molecular Biology. 2009 ; 32( 3): 619-625.[citado 2024 out. 21 ] Available from: https://doi.org/10.1590/S1415-47572009000300028
Artigo de periodico
Modeling nonlinear gene regulatory networks from time series gene expression data (2008)
Fujita, André ; Sato, João Ricardo; Garay-Malpartida, Humberto Miguel; Sogayar, Mari Cleide ; Ferreira, Carlos Eduardo ; Miyano, Satoru
Source: Journal of Bioinformatics and Computational Biology. Unidades: EACH, IQ, IME
Subjects: EXPRESSÃO GÊNICA, BIOQUÍMICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FUJITA, André et al. Modeling nonlinear gene regulatory networks from time series gene expression data. Journal of Bioinformatics and Computational Biology, v. 6, n. 5, p. 961-979, 2008Tradução . . Disponível em: https://doi.org/10.1142/s0219720008003746. Acesso em: 21 out. 2024.
APA
Fujita, A., Sato, J. R., Garay-Malpartida, H. M., Sogayar, M. C., Ferreira, C. E., & Miyano, S. (2008). Modeling nonlinear gene regulatory networks from time series gene expression data. Journal of Bioinformatics and Computational Biology, 6( 5), 961-979. doi:10.1142/s0219720008003746
NLM
Fujita A, Sato JR, Garay-Malpartida HM, Sogayar MC, Ferreira CE, Miyano S. Modeling nonlinear gene regulatory networks from time series gene expression data [Internet]. Journal of Bioinformatics and Computational Biology. 2008 ; 6( 5): 961-979.[citado 2024 out. 21 ] Available from: https://doi.org/10.1142/s0219720008003746
Vancouver
Fujita A, Sato JR, Garay-Malpartida HM, Sogayar MC, Ferreira CE, Miyano S. Modeling nonlinear gene regulatory networks from time series gene expression data [Internet]. Journal of Bioinformatics and Computational Biology. 2008 ; 6( 5): 961-979.[citado 2024 out. 21 ] Available from: https://doi.org/10.1142/s0219720008003746

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