Modelling Gene Regulatory Networks

Authors:
Erol Gelenbe
Affiliations:
Intelligent Systems and Networks Group Department of Electrical and Electronic Engineering Department, Imperial College, London, UK SW7 2BT
Venue:
Bio-Inspired Computing and Communication
Year:
2008

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Abstract

We consider methods to compute analytical solutions for the probabilities of activation in gene regulatory networks with positive and negative feedback loops, similar to those introduced by René Thomas, and show how discrete state-space and continuous time probability models called can be used to compute their steady-state behaviour. The inclusion of logical dependencies in stochastic regulatory networks is the developed in detail.