Cargando…
How reliable is the linear noise approximation of gene regulatory networks?
BACKGROUND: The linear noise approximation (LNA) is commonly used to predict how noise is regulated and exploited at the cellular level. These predictions are exact for reaction networks composed exclusively of first order reactions or for networks involving bimolecular reactions and large numbers o...
Autores principales: | Thomas, Philipp, Matuschek, Hannes, Grima, Ramon |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3849541/ https://www.ncbi.nlm.nih.gov/pubmed/24266939 http://dx.doi.org/10.1186/1471-2164-14-S4-S5 |
Ejemplares similares
-
Linear mapping approximation of gene regulatory networks with stochastic dynamics
por: Cao, Zhixing, et al.
Publicado: (2018) -
The slow-scale linear noise approximation: an accurate, reduced stochastic description of biochemical networks under timescale separation conditions
por: Thomas, Philipp, et al.
Publicado: (2012) -
Intrinsic Noise Analyzer: A Software Package for the Exploration of Stochastic Biochemical Kinetics Using the System Size Expansion
por: Thomas, Philipp, et al.
Publicado: (2012) -
The Linear Noise Approximation for Spatially Dependent Biochemical Networks
por: Lötstedt, Per
Publicado: (2018) -
Biochemical fluctuations, optimisation and the linear noise approximation
por: Pahle, Jürgen, et al.
Publicado: (2012)