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Sensitivity Analysis of Stochastic Models of Bistable Biochemical Reactions
Author(s)
Date Issued
2008-06
Date Available
2014-09-05T11:17:37Z
Abstract
Sensitivity Analysis (SA) provides techniques which can be used to identify the parameters which have the greatest influence on the results obtained from a model. Classical SA methods apply to deterministic simulations of ODE models. We extend these to stochastic simulations and consider the analysis of models with bifurcation points and bistable behaviour. We consider local, global and screening SA methods applied to multiple runs of Gillespie’s Stochastic Simulation Algorithm (SSA) . We present an example of stochastic sensitivity analysis of a real pathway, the MAPK signalling pathway.
Other Sponsorship
Engineering and Science Research Council (EPSRC), grant number
EP/E031439/1
Type of Material
Book Chapter
Publisher
Springer
Copyright (Published Version)
2008 Springer
Language
English
Status of Item
Not peer reviewed
Journal
M. Bernardo, P. Degano and G. Zavattaro (eds.). Formal Methods in Computational Systems Biology
ISBN
978-3-540-68894-5
This item is made available under a Creative Commons License
File(s)
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Name
DegasperiGilmore2008_SFM2008.pdf
Size
1.12 MB
Format
Adobe PDF
Checksum (MD5)
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