Noisy attractors and ergodic sets in models of gene regulatory networks

• Published in: Journal of theoretical biology Vol. 247; no. 4; pp. 743 - 755
• Main Authors: Ribeiro, Andre S., Kauffman, Stuart A.
• Format: Journal Article
• Language: English
• Published: England Elsevier Ltd 21.08.2007
• Subjects: Animals; Attractor; Boolean networks; Cell Physiological Phenomena; Cell type; Computer Simulation; Gene Expression; Gene Regulatory Networks; Humans; Models, Genetic; Nonlinear Dynamics; Stochastic Processes; 05.45.a; Gene regulatory networks; 82.20.Fd; 87.16.Yc; 82.39.k; Attractor; Cell type; Boolean networks

We investigate the hypothesis that cell types are attractors. This hypothesis was criticized with the fact that real gene networks are noisy systems and, thus, do not have attractors [Kadanoff, L., Coppersmith, S., Aldana, M., 2002. Boolean Dynamics with Random Couplings. 〈 http://www.citebase.org/a...