Classical random Boolean networks (RBN) are not well suited to describe experimental data from time-course microarray, mainly because of the strict assumptions about the synchronicity of the regulatory mechanisms. In order to overcome this setback, a generalization of the RBN model is described and analyzed. Gene products (e.g., regulatory proteins) are introduced, with each one characterized by a specific decay time, thereby introducing a form of memory in the system. The dynamics of these networks is analyzed, and it is shown that the distribution of the decay times has a strong effect that can be adequately described and understood. The implications for the dynamical criticality of the networks are also discussed. © 2011, Mary Ann Liebert, Inc.
Graudenzi, A., Serra, R., Villani, M., Damiani, C., Colacci, A., & Kauffman, S. (2011). Dynamical properties of a Boolean model of gene regulatory network with memory. JOURNAL OF COMPUTATIONAL BIOLOGY, 18(10), 1291-1303.
Citazione: | Graudenzi, A., Serra, R., Villani, M., Damiani, C., Colacci, A., & Kauffman, S. (2011). Dynamical properties of a Boolean model of gene regulatory network with memory. JOURNAL OF COMPUTATIONAL BIOLOGY, 18(10), 1291-1303. |
Tipo: | Articolo in rivista - Articolo scientifico |
Carattere della pubblicazione: | Scientifica |
Presenza di un coautore afferente ad Istituzioni straniere: | Si |
Titolo: | Dynamical properties of a Boolean model of gene regulatory network with memory |
Autori: | Graudenzi, A; Serra, R; Villani, M; Damiani, C; Colacci, A; Kauffman, S |
Autori: | GRAUDENZI, ALEX (Primo) |
Data di pubblicazione: | 2011 |
Lingua: | English |
Rivista: | JOURNAL OF COMPUTATIONAL BIOLOGY |
Digital Object Identifier (DOI): | http://dx.doi.org/10.1089/cmb.2010.0069 |
Appare nelle tipologie: | 01 - Articolo su rivista |