Stochastic analysis of gene expression

Methods Mol Biol. 2011:734:123-51. doi: 10.1007/978-1-61779-086-7_7.

Abstract

In this chapter, stochasticity in gene expression is investigated using Ω-expansion technique. Two theoretical models are considered here, one concern the stochastic fluctuations in a single-gene network with negative feedback regulation, and the other the additivity of noise propagation in a protein cascade. All of these theoretical analyses may provide a basic framework for understanding stochastic gene expression.

MeSH terms

  • Computer Simulation
  • Feedback, Physiological
  • Gene Expression Regulation*
  • Gene Regulatory Networks / genetics
  • Models, Genetic*
  • Monte Carlo Method
  • Stochastic Processes