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Emergent criticality from coevolution in random Boolean networks

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics

Dec 13, 2006

Min Liu, Kevin E Bassler

PMID: 17155099

Abstract

The coevolution of network topology and dynamics is studied in an evolutionary Boolean network model that is a simple model of a gene regulatory network. We find that a critical state emerges spontaneously resulting from the interplay between topology and dynamics during the evolution. ...read more

Mentioned in this Paper

In Silico
Logistic Regression
Gene Regulatory Networks
Two-Parameter Models
Transcription Factor
Signal Transduction
Evolution, Molecular
Anatomy, Regional
Paper Details
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Emergent criticality from coevolution in random Boolean networks

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics

Dec 13, 2006

Min Liu, Kevin E Bassler

PMID: 17155099

DOI:

Abstract

The coevolution of network topology and dynamics is studied in an evolutionary Boolean network model that is a simple model of a gene regulatory network. We find that a critical state emerges spontaneously resulting from the interplay between topology and dynamics during the evolution. ...read more

Mentioned in this Paper

In Silico
Logistic Regression
Gene Regulatory Networks
Two-Parameter Models
Transcription Factor
Signal Transduction
Evolution, Molecular
Anatomy, Regional

Similar Papers Found In These Feeds

Gene Regulatory Networks (Keystone)

Gene regulatory networks are comprised of molecular regulators that interact with each other and other factors in a cell to regulate and modulate gene expression. Here is the latest research.

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Paper Details
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  • Citations1
  • finger pointing at paper

    References currently unavailable

    We're still populating references for this paper, please check back later.
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