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The ensemble approach to understand genetic regulatory networks

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  • Kauffman, Stuart

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.

Suggested Citation

  • Kauffman, Stuart, 2004. "The ensemble approach to understand genetic regulatory networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 340(4), pages 733-740.
    • Handle: RePEc:eee:phsmap:v:340:y:2004:i:4:p:733-740
    DOI: 10.1016/j.physa.2004.05.018
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    Cited by:

    1. Blasi, Monica Francesca & Casorelli, Ida & Colosimo, Alfredo & Blasi, Francesco Simone & Bignami, Margherita & Giuliani, Alessandro, 2005. "A recursive network approach can identify constitutive regulatory circuits in gene expression data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 348(C), pages 349-370.

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