Identifying regulational alterations in gene regulatory networks by state space representation of vector autoregressive models and variational annealing (2012)
- Authors:
- Autor USP: FUJITA, ANDRÉ - IME
- Unidade: IME
- DOI: 10.1186/1471-2164-13-S1-S6
- Assunto: GENOMAS
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: BMC Genomics
- ISSN: 1471-2164
- Volume/Número/Paginação/Ano: v. 13, Suppl 1, p. 1-14, 2012
- Este periódico é de acesso aberto
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: gold
- Licença: cc-by
-
ABNT
KOJIMA, Kaname et al. Identifying regulational alterations in gene regulatory networks by state space representation of vector autoregressive models and variational annealing. BMC Genomics, v. 13, p. 1-14, 2012Tradução . . Disponível em: https://doi.org/10.1186/1471-2164-13-S1-S6. Acesso em: 16 maio 2024. -
APA
Kojima, K., Imoto, S., Yamaguchi, R., Fujita, A., Yamaouchi, M., Gotoh, N., & Miyano, S. (2012). Identifying regulational alterations in gene regulatory networks by state space representation of vector autoregressive models and variational annealing. BMC Genomics, 13, 1-14. doi:10.1186/1471-2164-13-S1-S6 -
NLM
Kojima K, Imoto S, Yamaguchi R, Fujita A, Yamaouchi M, Gotoh N, Miyano S. Identifying regulational alterations in gene regulatory networks by state space representation of vector autoregressive models and variational annealing [Internet]. BMC Genomics. 2012 ; 13 1-14.[citado 2024 maio 16 ] Available from: https://doi.org/10.1186/1471-2164-13-S1-S6 -
Vancouver
Kojima K, Imoto S, Yamaguchi R, Fujita A, Yamaouchi M, Gotoh N, Miyano S. Identifying regulational alterations in gene regulatory networks by state space representation of vector autoregressive models and variational annealing [Internet]. BMC Genomics. 2012 ; 13 1-14.[citado 2024 maio 16 ] Available from: https://doi.org/10.1186/1471-2164-13-S1-S6 - Análise de dados de expressão gênica: normalização de microarrays e modelagem de redes regulatórias
- Potential confounders in the analysis of Brazilian adolescent’s health: a combination of machine learning and graph theory
- Systems biology model repository for macrophage pathway simulation
- Conservative generalized bifurcation diagrams and phase space properties for oval-like billiards
- Elevated β-catenin pathway as a novel target for patients with resistance to EGF receptor targeting drugs
- Computational statistics in biological big data: methods and applications
- A tutorial to identify nonlinear associations in gene expression time series data
- Efficient eigenvalue counts for tree-like networks
- Dynamical properties for a tunable circular to polygonal billiard
- Granger causality among graphs and application to functional brain connectivity in autism spectrum disorder
Informações sobre o DOI: 10.1186/1471-2164-13-S1-S6 (Fonte: oaDOI API)
Download do texto completo
Tipo | Nome | Link | |
---|---|---|---|
2273561.pdf | Direct link |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas