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Stochastic modelling for quantitative description of heterogeneous biological systems

Lookup NU author(s): Professor Darren Wilkinson

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Abstract

Two related developments are currently changing traditional approaches to computational systems biology modelling. First, stochastic models are being used increasingly in preference to deterministic models to describe biochemical network dynamics at the single-cell level. Second, sophisticated statistical methods and algorithms are being used to fit both deterministic and stochastic models to time course and other experimental data. Both frameworks are needed to adequately describe observed noise, variability and heterogeneity of biological systems over a range of scales of biological organization.

Publication metadata

Author(s): Wilkinson DJ

Publication type: Review

Publication status: Published

Journal: Nature Reviews: Genetics

Year: 2009

Volume: 10

Issue: 2

Pages: 122-133

ISSN (print): 1471-0056

ISSN (electronic): 1471-0064

URL: http://dx.doi.org/10.1038/nrg2509

DOI: 10.1038/nrg2509

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