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 language | English |
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Article number | P11010 |
Journal | Journal of Statistical Mechanics: Theory and Experiment |
Volume | 2012 |
Issue number | 11 |
DOIs | |
Publication status | Published - Nov 2012 |
Keywords
- computational biology
- stochastic processes (theory)
- systems biology