Sensitivity Analysis of Stochastic Models of Bistable Biochemical Reactions

Andrea Degasperi, Stephen Gilmore

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.
Original languageEnglish
Title of host publicationFormal Methods for Computational Systems Biology
Subtitle of host publication8th International School on Formal Methods for the Design of Computer, Communication, and Software Systems, SFM 2008 Bertinoro, Italy, June 2-7, 2008 Advanced Lectures
EditorsMarco Bernardo, Pierpaolo Degano, Gianluigi Zavattaro
PublisherSpringer
Pages1-20
Number of pages20
ISBN (Electronic)978-3-540-68894-5
ISBN (Print)978-3-540-68892-1
DOIs
Publication statusPublished - 2008

Publication series

NameLecture Notes in Computer Science
PublisherSpringer Berlin / Heidelberg
Volume5016
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

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