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: 11 nov. 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/1095383NLM
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 nov. 11 ] Available from: https://f1000research.com/posters/1095383Vancouver
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 nov. 11 ] Available from: https://f1000research.com/posters/1095383