Cargando…
Gene regulatory network modeling via global optimization of high-order dynamic Bayesian network
BACKGROUND: Dynamic Bayesian network (DBN) is among the mainstream approaches for modeling various biological networks, including the gene regulatory network (GRN). Most current methods for learning DBN employ either local search such as hill-climbing, or a meta stochastic global optimization framew...
Autores principales: | Xuan, Nguyen, Chetty, Madhu, Coppel, Ross, Wangikar, Pramod P |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3433362/ https://www.ncbi.nlm.nih.gov/pubmed/22694481 http://dx.doi.org/10.1186/1471-2105-13-131 |
Ejemplares similares
-
A model of the circadian clock in the cyanobacterium Cyanothece sp. ATCC 51142
por: Vinh, Nguyen Xuan, et al.
Publicado: (2013) -
High-order dynamic Bayesian Network learning with hidden common causes for causal gene regulatory network
por: Lo, Leung-Yau, et al.
Publicado: (2015) -
CausNet: generational orderings based search for optimal Bayesian networks via dynamic programming with parent set constraints
por: Sharma, Nand, et al.
Publicado: (2023) -
Comparison of probabilistic Boolean network and dynamic Bayesian network approaches for inferring gene regulatory networks
por: Li, Peng, et al.
Publicado: (2007) -
Coupling of Cellular Processes and Their Coordinated Oscillations under Continuous Light in Cyanothece sp. ATCC 51142, a Diazotrophic Unicellular Cyanobacterium
por: Krishnakumar, S., et al.
Publicado: (2015)