Cargando…
Moment Fitting for Parameter Inference in Repeatedly and Partially Observed Stochastic Biological Models
The inference of reaction rate parameters in biochemical network models from time series concentration data is a central task in computational systems biology. Under the assumption of well mixed conditions the network dynamics are typically described by the chemical master equation, the Fokker Planc...
Autor principal: | Kügler, Philipp |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2012
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3416831/ https://www.ncbi.nlm.nih.gov/pubmed/22900079 http://dx.doi.org/10.1371/journal.pone.0043001 |
Ejemplares similares
-
Inference for Stochastic Chemical Kinetics Using Moment Equations and System Size Expansion
por: Fröhlich, Fabian, et al.
Publicado: (2016) -
Parameter inference for discretely observed stochastic kinetic models using stochastic gradient descent
por: Wang, Yuanfeng, et al.
Publicado: (2010) -
Generalized method of moments for estimating parameters of stochastic reaction networks
por: Lück, Alexander, et al.
Publicado: (2016) -
Trajectory inference and parameter estimation in stochastic models with temporally aggregated data
por: Folia, Maria Myrto, et al.
Publicado: (2017) -
Efficient Moment-Based Inference of Admixture Parameters and Sources of Gene Flow
por: Lipson, Mark, et al.
Publicado: (2013)