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 acesso aberto
- Este artigo NÃO é de acesso aberto
-
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: 11 fev. 2026. -
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 2026 fev. 11 ] 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 2026 fev. 11 ] Available from: https://doi.org/10.1109/TCBB.2012.169 - Pattern recognition based on straight line segments
- Segmentation of retinal blood vessels based on ultimate elongation opening
- A Monte Carlo approach to measure the robustness of Boolean networks
- A new training algorithm for pattern recognition technique based on straight line segments
- An approach to growth delimitation of straight line segment classifiers based on a minimum bounding box
- Is cross-validation better than resubstitution for ranking genes?
- Inference of restricted stochastic Boolean GRN' s by Bayesian error and entropy based criteria
- Growing genetic regulatory networks from seed genes
- Circuitos e caminhos pares/impares em grafos e digrafos - algoritmo e complexidade computacional
- Efficient incremental computation of attributes based on locally countable patterns in component trees
Informações sobre o DOI: 10.1109/TCBB.2012.169 (Fonte: oaDOI API)
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
