We study the properties of the distance between attractors in Random Boolean Networks, a prominent model of genetic regulatory networks. We define three distance measures, upon which attractor distance matrices are constructed and their main statistic parameters are computed. The experimental analysis shows that ordered networks have a very clustered set of attractors, while chaotic networks’ attractors are scattered; critical networks show, instead, a pattern with characteristics of both ordered and chaotic networks.
Analysis of attractor distances in Random Boolean Networks / A.Roli; S.Benedettini; R.Serra; M.Villani. - STAMPA. - (2011), pp. 201-208. [10.3233/978-1-60750-692-8-201]
Analysis of attractor distances in Random Boolean Networks
ROLI, ANDREA;BENEDETTINI, STEFANO;
2011
Abstract
We study the properties of the distance between attractors in Random Boolean Networks, a prominent model of genetic regulatory networks. We define three distance measures, upon which attractor distance matrices are constructed and their main statistic parameters are computed. The experimental analysis shows that ordered networks have a very clustered set of attractors, while chaotic networks’ attractors are scattered; critical networks show, instead, a pattern with characteristics of both ordered and chaotic networks.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
