title: Stochastic analysis of gene expression.
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.
authors.affiliation: Key Lab of Animal Ecology and Conservational Biology, Centre for Computational and Evolutionary Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China.
authors.forename: Xiu-Deng
authors.initials: XD
authors.lastname: Zheng
authors.forename: Yi
authors.initials: Y
authors.lastname: Tao
mesh_terms: D003198:Computer Simulation; D025461:Feedback, Physiological; D005786:Gene Expression Regulation; D053263:Gene Regulatory Networks / Q000235:genetics; D008957:Models, Genetic; D009010:Monte Carlo Method; D013269:Stochastic Processes