Growing seed genes from time series data and thresholded Boolean networks with perturbation (2013)
- Authors:
- Autor USP: HASHIMOTO, RONALDO FUMIO - IME
- Unidade: IME
- DOI: 10.1109/TCBB.2012.169
- Subjects: ÁLGEBRAS DE BOOLE; EXPRESSÃO GÊNICA; ANÁLISE DE SÉRIES TEMPORAIS
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher place: Los Alamitos
- Date published: 2013
- Source:
- Título: IEEE-ACM Transactions on Computational Biology and Bioinformatics
- ISSN: 1545-5963
- Volume/Número/Paginação/Ano: v. 10, n. 1, p. 37-49, 2013
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
HIGA, Carlos H. A e ANDRADE, Tales Pinheiro de e HASHIMOTO, Ronaldo Fumio. Growing seed genes from time series data and thresholded Boolean networks with perturbation. IEEE-ACM Transactions on Computational Biology and Bioinformatics, v. 10, n. 1, p. 37-49, 2013Tradução . . Disponível em: https://doi.org/10.1109/TCBB.2012.169. Acesso em: 25 dez. 2025. -
APA
Higa, C. H. A., Andrade, T. P. de, & Hashimoto, R. F. (2013). Growing seed genes from time series data and thresholded Boolean networks with perturbation. IEEE-ACM Transactions on Computational Biology and Bioinformatics, 10( 1), 37-49. doi:10.1109/TCBB.2012.169 -
NLM
Higa CHA, Andrade TP de, Hashimoto RF. Growing seed genes from time series data and thresholded Boolean networks with perturbation [Internet]. IEEE-ACM Transactions on Computational Biology and Bioinformatics. 2013 ; 10( 1): 37-49.[citado 2025 dez. 25 ] Available from: https://doi.org/10.1109/TCBB.2012.169 -
Vancouver
Higa CHA, Andrade TP de, Hashimoto RF. Growing seed genes from time series data and thresholded Boolean networks with perturbation [Internet]. IEEE-ACM Transactions on Computational Biology and Bioinformatics. 2013 ; 10( 1): 37-49.[citado 2025 dez. 25 ] Available from: https://doi.org/10.1109/TCBB.2012.169 - An extension of an algorithm for finding sequential decomposition of erosions and dilations
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Informações sobre o DOI: 10.1109/TCBB.2012.169 (Fonte: oaDOI API)
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