Sensitivity Analysis of Stochastic Models of Bistable Biochemical Reactions

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Title: Sensitivity Analysis of Stochastic Models of Bistable Biochemical Reactions
Authors: Degasperi, Andrea
Gilmore, Stephen
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Date: Jun-2008
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.
Type of material: Book Chapter
Publisher: Springer
Copyright (published version): 2008 Springer
Keywords: Sensitivity analysisStochastic modelsBiochemical reactionsBistable
DOI: 10.1007/978-3-540-68894-5_1
Language: en
Status of Item: Not peer reviewed
Is part of: M. Bernardo, P. Degano and G. Zavattaro (eds.). Formal Methods in Computational Systems Biology
Appears in Collections:SBI Research Collection

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