Attractor computation using interconnected Boolean networks: Testing growth rate models in E. Coli
Boolean networks are applied as a tool for model testing and discrimination. A large network is analyzed as an interconnection of two Boolean models. The cost of computing the attractors of the large network is greatly reduced. The method is applied to test dynamical models for growth rate in bacteria.
asynchronous boolean models system interconnection model discrimination bacterial growth rate