New Draft: Modular Random Boolean Networks
Poblanno-Balp, Rodrigo & Gershenson, Carlos (2011). Modular Random Boolean Networks. C3 Report 2011.01.
Abstract: Random Boolean networks (RBNs) have been a popular model of genetic regulatory networks for more than four decades. However, most RBN studies have been made with regular topologies, while real regulatory networks have been found to be modular. In this work, we extend classical RBNs to define modular RBNs. Statistical experiments and analytical results show that modularity has a strong effect on the properties of RBNs. In particular, modular RBNs are closer to criticality than regular RBNs.
Full text: http://arxiv.org/abs/1101.1893
Abstract: Random Boolean networks (RBNs) have been a popular model of genetic regulatory networks for more than four decades. However, most RBN studies have been made with regular topologies, while real regulatory networks have been found to be modular. In this work, we extend classical RBNs to define modular RBNs. Statistical experiments and analytical results show that modularity has a strong effect on the properties of RBNs. In particular, modular RBNs are closer to criticality than regular RBNs.
Full text: http://arxiv.org/abs/1101.1893
Comments