The ensemble approach to understand genetic regulatory networks

Stuart Kauffman

Physica A: Statistical Mechanics and its Applications, 2004, vol. 340, issue 4, 733-740

Abstract: Understanding the genetic regulatory network comprising genes, RNA, proteins and the network connections and dynamical control rules among them, is a major task of contemporary systems biology. I focus here on the use of the ensemble approach to find one or more well-defined ensembles of model networks whose statistical features match those of real cells and organisms. Such ensembles should help to explain and predict features of real cells and organisms.

Date: 2004
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:340:y:2004:i:4:p:733-740

DOI: 10.1016/j.physa.2004.05.018

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