Stochastic Modelling for Quantitative Description of Heterogeneous Biological Systems

Overview

Journal Nat Rev Genet

Specialty Genetics

Date 2009 Jan 14

PMID 19139763

Citations 185

Authors

Darren J Wilkinson

Affiliations

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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.

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