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FCS
2009
13 years 2 months ago
Spectral Analysis of Attractors in Random Boolean Network Models
Circuits and loops in graph systems can be used to model the attractors in gene-regulatory networks. The number of such attractors grows very rapidly with network size and even fo...
Kenneth A. Hawick
ECAL
2003
Springer
13 years 10 months ago
Contextual Random Boolean Networks
Abstract. We propose the use of Deterministic Generalized Asynchronous Random Boolean Networks [1] as models of contextual deterministic discrete dynamical systems. We show that ch...
Carlos Gershenson, Jan Broekaert, Diederik Aerts
GECCO
2008
Springer
179views Optimization» more  GECCO 2008»
13 years 6 months ago
Evolution of discrete gene regulatory models
Gene regulatory networks (GRNs) are complex control systems that govern the interaction of genes, which ultimately control cellular processes at the protein level. GRNs can be ted...
Afshin Esmaeili, Christian Jacob
CORR
2002
Springer
97views Education» more  CORR 2002»
13 years 4 months ago
Classification of Random Boolean Networks
We provide the first classification of different types of Random Boolean Networks (RBNs). We study the differences of RBNs depending on the degree of synchronicity and determinism...
Carlos Gershenson
AB
2008
Springer
13 years 11 months ago
Algorithms for Inference, Analysis and Control of Boolean Networks
Boolean networks (BNs) are known as a mathematical model of genetic networks. In this paper, we overview algorithmic aspects of inference, analysis and control of BNs while focusin...
Tatsuya Akutsu, Morihiro Hayashida, Takeyuki Tamur...