Cargando…
Identifying interactions in the time and frequency domains in local and global networks - A Granger Causality Approach
BACKGROUND: Reverse-engineering approaches such as Bayesian network inference, ordinary differential equations (ODEs) and information theory are widely applied to deriving causal relationships among different elements such as genes, proteins, metabolites, neurons, brain areas and so on, based upon m...
Autores principales: | Zou, Cunlu, Ladroue, Christophe, Guo, Shuixia, Feng, Jianfeng |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2010
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2897832/ https://www.ncbi.nlm.nih.gov/pubmed/20565962 http://dx.doi.org/10.1186/1471-2105-11-337 |
Ejemplares similares
-
Granger causality vs. dynamic Bayesian network inference: a comparative study
por: Zou, Cunlu, et al.
Publicado: (2009) -
Granger causality vs. dynamic Bayesian network inference: a comparative study
por: Zou, Cunlu, et al.
Publicado: (2009) -
Beyond Element-Wise Interactions: Identifying Complex Interactions in Biological Processes
por: Ladroue, Christophe, et al.
Publicado: (2009) -
Frequency Domain Repercussions of Instantaneous Granger Causality
por: Baccalá, Luiz A., et al.
Publicado: (2021) -
On the interpretability and computational reliability of frequency-domain Granger causality
por: Faes, Luca, et al.
Publicado: (2017)