Cargando…
iVUN: interactive Visualization of Uncertain biochemical reaction Networks
BACKGROUND: Mathematical models are nowadays widely used to describe biochemical reaction networks. One of the main reasons for this is that models facilitate the integration of a multitude of different data and data types using parameter estimation. Thereby, models allow for a holistic understandin...
Autores principales: | Vehlow, Corinna, Hasenauer, Jan, Kramer, Andrei, Raue, Andreas, Hug, Sabine, Timmer, Jens, Radde, Nicole, Theis, Fabian J, Weiskopf, Daniel |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4067946/ https://www.ncbi.nlm.nih.gov/pubmed/24564335 http://dx.doi.org/10.1186/1471-2105-14-S19-S2 |
Ejemplares similares
-
Scalable Parameter Estimation for Genome-Scale Biochemical Reaction Networks
por: Fröhlich, Fabian, et al.
Publicado: (2017) -
CERENA: ChEmical REaction Network Analyzer—A Toolbox for the Simulation and Analysis of Stochastic Chemical Kinetics
por: Kazeroonian, Atefeh, et al.
Publicado: (2016) -
A scalable moment-closure approximation for large-scale biochemical reaction networks
por: Kazeroonian, Atefeh, et al.
Publicado: (2017) -
Comprehensive estimation of input signals and dynamics in biochemical reaction networks
por: Schelker, M., et al.
Publicado: (2012) -
Bayesian parameter estimation for biochemical reaction networks using region-based adaptive parallel tempering
por: Ballnus, Benjamin, et al.
Publicado: (2018)