Cargando…
Scalable Parameter Estimation for Genome-Scale Biochemical Reaction Networks
Mechanistic mathematical modeling of biochemical reaction networks using ordinary differential equation (ODE) models has improved our understanding of small- and medium-scale biological processes. While the same should in principle hold for large- and genome-scale processes, the computational method...
Autores principales: | Fröhlich, Fabian, Kaltenbacher, Barbara, Theis, Fabian J., Hasenauer, Jan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5256869/ https://www.ncbi.nlm.nih.gov/pubmed/28114351 http://dx.doi.org/10.1371/journal.pcbi.1005331 |
Ejemplares similares
-
A scalable moment-closure approximation for large-scale biochemical reaction networks
por: Kazeroonian, Atefeh, et al.
Publicado: (2017) -
Bayesian parameter estimation for biochemical reaction networks using region-based adaptive parallel tempering
por: Ballnus, Benjamin, et al.
Publicado: (2018) -
CERENA: ChEmical REaction Network Analyzer—A Toolbox for the Simulation and Analysis of Stochastic Chemical Kinetics
por: Kazeroonian, Atefeh, et al.
Publicado: (2016) -
iVUN: interactive Visualization of Uncertain biochemical reaction Networks
por: Vehlow, Corinna, et al.
Publicado: (2013) -
Modeling of 2D diffusion processes based on microscopy data: parameter estimation and practical identifiability analysis
por: Hock, Sabrina, et al.
Publicado: (2013)