Modelling Gene Regulatory Networks

被引：0
|
作者：
Gelenbe, Erol [1 ]
机构：
[1] Univ London Imperial Coll Sci Technol & Med, Dept Elect, Intelligent Syst & Networks Grp, London SW7 2BT, England
来源：
BIO-INSPIRED COMPUTING AND COMMUNICATION | 2008年 / 5151卷
关键词：
Gene regulatory networks; G-networks; Stochastic models; Equilibrium solutions;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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 Rene 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.
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页码：19 / 32
页数：14
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