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EnglishWe 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.
| Titolo: | Analysis of attractor distances in Random Boolean Networks |
| Autore/i: | ROLI, ANDREA; BENEDETTINI, STEFANO; R. Serra; M. Villani |
| Autore/i Unibo: | |
| Anno: | 2011 |
| Serie: | |
| Titolo del libro: | Volume 226: Neural Nets WIRN10 |
| Pagina iniziale: | 201 |
| Pagina finale: | 208 |
| Digital Object Identifier (DOI): | http://dx.doi.org/10.3233/978-1-60750-692-8-201 |
| 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. |
| Data prodotto definitivo in UGOV: | 26-giu-2013 |
| Appare nelle tipologie: | 2.01 Capitolo / saggio in libro |
File in questo prodotto:
http://hdl.handle.net/11585/114791
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