Ontology highlight
ABSTRACT:
SUBMITTER: Kauffman S
PROVIDER: S-EPMC534611 | biostudies-literature | 2004 Dec
REPOSITORIES: biostudies-literature
Proceedings of the National Academy of Sciences of the United States of America 20041130 49
We determine stability and attractor properties of random Boolean genetic network models with canalyzing rules for a variety of architectures. For all power law, exponential, and flat in-degree distributions, we find that the networks are dynamically stable. Furthermore, for architectures with few inputs per node, the dynamics of the networks is close to critical. In addition, the fraction of genes that are active decreases with the number of inputs per node. These results are based upon investi ...[more]