Expected Number of Fixed Points in Boolean Networks with Arbitrary Topology

Autor: Atsushi Mochizuki, Fumito Mori
Rok vydání: 2017
Předmět:
Zdroj: Physical review letters. 119(2)
ISSN: 1079-7114
Popis: Boolean network models describe genetic, neural, and social dynamics in complex networks, where the dynamics depend generally on network topology. Fixed points in a genetic regulatory network are typically considered to correspond to cell types in an organism. We prove that the expected number of fixed points in a Boolean network, with Boolean functions drawn from probability distributions that are not required to be uniform or identical, is one, and is independent of network topology if only a feedback arc set satisfies a stochastic neutrality condition. We also demonstrate that the expected number is increased by the predominance of positive feedback in a cycle.
Databáze: OpenAIRE