Multi-compartment linear noise approximation

Joseph D. Challenger, Alan J. McKane, Jürgen Pahle

    Research output: Contribution to journalArticlepeer-review

    Abstract

    The ability to quantify the stochastic fluctuations present in biochemical and other systems is becoming increasing important. Analytical descriptions of these fluctuations are attractive, as stochastic simulations are computationally expensive. Building on previous work, a linear noise approximation is developed for biochemical models with many compartments, for example cells. The procedure is then implemented in the software package COPASI. This technique is illustrated with two simple examples and is then applied to a more realistic biochemical model. Expressions for the noise, given in the form of covariance matrices, are presented. © 2012 IOP Publishing Ltd and SISSA Medialab srl.
    Original languageEnglish
    Article numberP11010
    JournalJournal of Statistical Mechanics: Theory and Experiment
    Volume2012
    Issue number11
    DOIs
    Publication statusPublished - Nov 2012

    Keywords

    • computational biology
    • stochastic processes (theory)
    • systems biology

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