Anguix: cell signaling modeling improvement through Sabio-RK association to reactome (2022)
Montoni, Fabio 
; Sousa, Ronaldo Nogueira de ; Lima Junior, Marcelo Batista de; Campos, Cristiano G. S; Wang, William; Constantino, Vivian Marinelli; Santos, Cássia S; Armelin, Hugo Aguirre ; Reis, Marcelo S
Fonte: Abstracts. Nome do evento: International Conference On e-Science (e-Science). Unidades: IQ, BIOINFORMÁTICA
Assuntos: CINÉTICA, REAÇÕES QUÍMICAS
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MONTONI, Fabio et al. Anguix: cell signaling modeling improvement through Sabio-RK association to reactome. 2022, Anais.. Salt Lake City: IEEE, 2022. Disponível em: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9973605. Acesso em: 31 out. 2024.APA
Montoni, F., Sousa, R. N. de, Lima Junior, M. B. de, Campos, C. G. S., Wang, W., Constantino, V. M., et al. (2022). Anguix: cell signaling modeling improvement through Sabio-RK association to reactome. In Abstracts. Salt Lake City: IEEE. Recuperado de https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9973605NLM
Montoni F, Sousa RN de, Lima Junior MB de, Campos CGS, Wang W, Constantino VM, Santos CS, Armelin HA, Reis MS. Anguix: cell signaling modeling improvement through Sabio-RK association to reactome [Internet]. Abstracts. 2022 ;[citado 2024 out. 31 ] Available from: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9973605Vancouver
Montoni F, Sousa RN de, Lima Junior MB de, Campos CGS, Wang W, Constantino VM, Santos CS, Armelin HA, Reis MS. Anguix: cell signaling modeling improvement through Sabio-RK association to reactome [Internet]. Abstracts. 2022 ;[citado 2024 out. 31 ] Available from: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9973605
