Literature DB >> 16090039

Number of attractors in random Boolean networks.

Barbara Drossel1.   

Abstract

The evaluation of the number of attractors in Kauffman networks by Samuelsson and Troein is generalized to critical networks with one input per node and to networks with two inputs per node and different probability distributions for update functions. A connection is made between the terms occurring in the calculation and between the more graphic concepts of frozen, nonfrozen, and relevant nodes, and relevant components. Based on this understanding, a phenomenological argument is given that reproduces the dependence of the attractor numbers on system size.

Year:  2005        PMID: 16090039     DOI: 10.1103/PhysRevE.72.016110

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  5 in total

1.  Algorithms for finding small attractors in Boolean networks.

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2.  Attractor-Based Obstructions to Growth in Homogeneous Cyclic Boolean Automata.

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Journal:  J Comput Sci Syst Biol       Date:  2015-11-04

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Journal:  Int J Mol Sci       Date:  2009-11-20       Impact factor: 6.208

4.  Selective control of the apoptosis signaling network in heterogeneous cell populations.

Authors:  Diego Calzolari; Giovanni Paternostro; Patrick L Harrington; Carlo Piermarocchi; Phillip M Duxbury
Journal:  PLoS One       Date:  2007-06-20       Impact factor: 3.240

5.  Boolean Models of Biological Processes Explain Cascade-Like Behavior.

Authors:  Hao Chen; Guanyu Wang; Rahul Simha; Chenghang Du; Chen Zeng
Journal:  Sci Rep       Date:  2016-01-29       Impact factor: 4.379

  5 in total

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