Title
The simulation of gene knock-out in scale-free random Boolean models of genetic networks
Abstract
This paper describes the effects of perturbations, which simulate the knock-out of single genes, one at a time, in random Boolean models of genetic networks (RBN). The analysis concentrates on the probability distribution of so-called avalanches (defined in the text) in gene expression. The topology of the random Boolean networks considered here is of the scale-free type, with a power-law distribution of outgoing connectivities. The results for these scale-free random Boolean networks (SFRBN) are compared with those of classical RBNs, which had been previously analyzed, and with experimental data on S. cerevisiae. It is shown that, while both models approximate the main features of the distribution of experimental data, SFRBNs tend to overestimate the number of large avalanches.
Year
DOI
Venue
2008
10.3934/nhm.2008.3.333
NETWORKS AND HETEROGENEOUS MEDIA
Keywords
Field
DocType
avalanches,cell criticality,genetic network model,gene knock-out,random Boolean network,scale-free,S. cerevisiae
Boolean network,Statistical physics,Probability and statistics,Mathematical optimization,Theoretical computer science,Probability distribution,Mathematics
Journal
Volume
Issue
ISSN
3
2
1556-1801
Citations 
PageRank 
References 
8
1.59
2
Authors
5
Name
Order
Citations
PageRank
Roberto Serra120329.48
Marco Villani218835.04
Alex Graudenzi39017.99
Annamaria Colacci4515.43
Stuart Kauffman524532.76