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Open Access Methodology article

Constructing stochastic models from deterministic process equations by propensity adjustment

Jialiang Wu1, Brani Vidakovic2 and Eberhard O Voit23*

Author Affiliations

1 Deparment of Mathematics, Bioinformatics Program, Georgia Institute of Technology, Atlanta, GA30332, USA

2 The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA30332, USA

3 Integrative BioSystems Institute and The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA30332, USA

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BMC Systems Biology 2011, 5:187  doi:10.1186/1752-0509-5-187

Published: 8 November 2011

Additional files

Additional file 1:

Derivation of the mean and variance of a power-law function of random variables.

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Additional file 2:

Computation of approximate mean and covariance for a generic propensity function to be used in stochastic simulations.

Format: PDF Size: 133KB Download file

This file can be viewed with: Adobe Acrobat Reader

Open Data