Cargando…
A method for zooming of nonlinear models of biochemical systems
BACKGROUND: Models of biochemical systems are typically complex, which may complicate the discovery of cardinal biochemical principles. It is therefore important to single out the parts of a model that are essential for the function of the system, so that the remaining non-essential parts can be eli...
Autores principales: | Sunnåker, Mikael, Cedersund, Gunnar, Jirstrand, Mats |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2011
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3201033/ https://www.ncbi.nlm.nih.gov/pubmed/21899762 http://dx.doi.org/10.1186/1752-0509-5-140 |
Ejemplares similares
-
Zooming of states and parameters using a lumping approach including back-translation
por: Sunnåker, Mikael, et al.
Publicado: (2010) -
Nonlinear mixed-effects modelling for single cell estimation: when, why, and how to use it
por: Karlsson, Markus, et al.
Publicado: (2015) -
Combining test statistics and models in bootstrapped model rejection: it is a balancing act
por: Johansson, Rikard, et al.
Publicado: (2014) -
A continuous-time adaptive particle filter for estimations under measurement time uncertainties with an application to a plasma-leucine mixed effects model
por: Krengel, Annette, et al.
Publicado: (2013) -
Estimating cell diffusivity and cell proliferation rate by interpreting IncuCyte ZOOM™ assay data using the Fisher-Kolmogorov model
por: Johnston, Stuart T., et al.
Publicado: (2015)