Inference of restricted stochastic Boolean GRN' s by Bayesian error and entropy based criteria (2010)
- Authors:
- Autor USP: HASHIMOTO, RONALDO FUMIO - IME
- Unidade: IME
- DOI: 10.1007/978-3-642-16687-7_23
- Assunto: PROCESSAMENTO DE IMAGENS
- Keywords: feature selection; gene regulatory networks inference; stochastic restricted Boolean network models; entropy; Bayesian error
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Proceedings
- Conference titles: Iberoamerican Congress on Pattern Recognition - CIARP
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
MARTINS JÚNIOR, David Correa et al. Inference of restricted stochastic Boolean GRN' s by Bayesian error and entropy based criteria. 2010, Anais.. Berlin: Springer, 2010. Disponível em: https://doi.org/10.1007/978-3-642-16687-7_23. Acesso em: 12 jun. 2025. -
APA
Martins Júnior, D. C., Oliveira, E. A. de, Louzada, V. H., & Hashimoto, R. F. (2010). Inference of restricted stochastic Boolean GRN' s by Bayesian error and entropy based criteria. In Proceedings. Berlin: Springer. doi:10.1007/978-3-642-16687-7_23 -
NLM
Martins Júnior DC, Oliveira EA de, Louzada VH, Hashimoto RF. Inference of restricted stochastic Boolean GRN' s by Bayesian error and entropy based criteria [Internet]. Proceedings. 2010 ;[citado 2025 jun. 12 ] Available from: https://doi.org/10.1007/978-3-642-16687-7_23 -
Vancouver
Martins Júnior DC, Oliveira EA de, Louzada VH, Hashimoto RF. Inference of restricted stochastic Boolean GRN' s by Bayesian error and entropy based criteria [Internet]. Proceedings. 2010 ;[citado 2025 jun. 12 ] Available from: https://doi.org/10.1007/978-3-642-16687-7_23 - An extension of an algorithm for finding sequential decomposition of erosions and dilations
- Incremental and efficient computation of families of component trees
- Biological sequence analysis using complex networks and entropy maximization: a case study in SARS-CoV-2
- Evaluation of the impact of initial positions obtained by clustering algorithms on the straight line segments classifier
- Is cross-validation better than resubstitution for ranking genes?
- Growing genetic regulatory networks from seed genes
- A new training algorithm for pattern recognition technique based on straight line segments
- A Monte Carlo approach to measure the robustness of Boolean networks
- Growing seed genes from time series data and thresholded Boolean networks with perturbation
- Pattern recognition based on straight line segments
Informações sobre o DOI: 10.1007/978-3-642-16687-7_23 (Fonte: oaDOI API)
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
