Cargando…
A multiscale compartment-based model of stochastic gene regulatory networks using hitting-time analysis
Spatial stochastic models of single cell kinetics are capable of capturing both fluctuations in molecular numbers and the spatial dependencies of the key steps of intracellular regulatory networks. The spatial stochastic model can be simulated both on a detailed microscopic level using particle trac...
Autores principales: | Coulier, Adrien, Hellander, Stefan, Hellander, Andreas |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AIP Publishing LLC
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8116061/ https://www.ncbi.nlm.nih.gov/pubmed/34241042 http://dx.doi.org/10.1063/5.0010764 |
Ejemplares similares
-
A 3D Multiscale Model to Explore the Role of EGFR Overexpression in Tumourigenesis
por: Bouchnita, Anass, et al.
Publicado: (2019) -
CBMOS: a GPU-enabled Python framework for the numerical study of center-based models
por: Mathias, Sonja, et al.
Publicado: (2022) -
Systematic comparison of modeling fidelity levels and parameter inference settings applied to negative feedback gene regulation
por: Coulier, Adrien, et al.
Publicado: (2022) -
Impact of Force Function Formulations on the Numerical Simulation of Centre-Based Models
por: Mathias, Sonja, et al.
Publicado: (2020) -
Spatial stochastic modelling of the Hes1 gene regulatory network: intrinsic noise can explain heterogeneity in embryonic stem cell differentiation
por: Sturrock, Marc, et al.
Publicado: (2013)