Cargando…
Constraint-based analysis of gene interactions using restricted boolean networks and time-series data
BACKGROUND: A popular model for gene regulatory networks is the Boolean network model. In this paper, we propose an algorithm to perform an analysis of gene regulatory interactions using the Boolean network model and time-series data. Actually, the Boolean network is restricted in the sense that onl...
Autores principales: | Higa, Carlos HA, Louzada, Vitor HP, Andrade, Tales P, Hashimoto, Ronaldo F |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2011
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3090763/ https://www.ncbi.nlm.nih.gov/pubmed/21554763 http://dx.doi.org/10.1186/1753-6561-5-S2-S5 |
Ejemplares similares
-
Learning restricted Boolean network model by time-series data
por: Ouyang, Hongjia, et al.
Publicado: (2014) -
Comparison of probabilistic Boolean network and dynamic Bayesian network approaches for inferring gene regulatory networks
por: Li, Peng, et al.
Publicado: (2007) -
On control of singleton attractors in multiple Boolean networks: integer programming-based method
por: Qiu, Yushan, et al.
Publicado: (2014) -
A method to identify important dynamical states in boolean models of regulatory networks: application to regulation of stomata closure by ABA in A. thaliana
por: Bugs, Cristhian A, et al.
Publicado: (2011) -
On finite-horizon control of genetic regulatory networks with multiple hard-constraints
por: Yang, Cong, et al.
Publicado: (2010)