Steady-state analysis of genetic regulatory networks modelled by probabilistic Boolean networks (2003)
- Authors:
- Autor USP: HASHIMOTO, RONALDO FUMIO - IME
- Unidade: IME
- DOI: 10.1002/cfg.342
- Subjects: MODELOS MATEMÁTICOS; GENÉTICA; MÉTODOS MCMC
- Keywords: genetic network; probabilistic Boolean network; steady-state analysis
- Language: Inglês
- Imprenta:
- Source:
- Título: Comparative and Functional Genomics
- ISSN: 2314-436X
- Volume/Número/Paginação/Ano: v. 4, p. 601-608, 2003
- Status:
- Artigo possui acesso gratuito no site do editor (Bronze Open Access)
- Versão do Documento:
- Versão publicada (Published version)
- Acessar versão aberta:
-
ABNT
SHMULEVICH, Ilya et al. Steady-state analysis of genetic regulatory networks modelled by probabilistic Boolean networks. Comparative and Functional Genomics, v. 4, p. 601-608, 2003Tradução . . Disponível em: https://doi.org/10.1002/cfg.342. Acesso em: 07 abr. 2026. -
APA
Shmulevich, I., Gluhovsky, I., Hashimoto, R. F., Dougherty, E. R., & Zhang, W. (2003). Steady-state analysis of genetic regulatory networks modelled by probabilistic Boolean networks. Comparative and Functional Genomics, 4, 601-608. doi:10.1002/cfg.342 -
NLM
Shmulevich I, Gluhovsky I, Hashimoto RF, Dougherty ER, Zhang W. Steady-state analysis of genetic regulatory networks modelled by probabilistic Boolean networks [Internet]. Comparative and Functional Genomics. 2003 ; 4 601-608.[citado 2026 abr. 07 ] Available from: https://doi.org/10.1002/cfg.342 -
Vancouver
Shmulevich I, Gluhovsky I, Hashimoto RF, Dougherty ER, Zhang W. Steady-state analysis of genetic regulatory networks modelled by probabilistic Boolean networks [Internet]. Comparative and Functional Genomics. 2003 ; 4 601-608.[citado 2026 abr. 07 ] Available from: https://doi.org/10.1002/cfg.342 - Pattern recognition based on straight line segments
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