title: Contrasting methods for symbolic analysis of biological regulatory networks.
abstract: Symbolic dynamics offers a powerful technique to relate the structure and dynamics of complex networks. We contrast the predictions of two methods of symbolic dynamics for the analysis of monotonic networks suggested by models of genetic control systems.
authors.affiliation: Department of Mathematics and Statistics, McGill University, 805 Sherbrooke Street West, Montreal, Quebec, Canada H3A 2K6. wilds@cnd.mcgill.ca
authors.forename: Roy
authors.initials: R
authors.lastname: Wilds
authors.forename: Leon
authors.initials: L
authors.lastname: Glass
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D005786:Gene Expression Regulation / Q000502:physiology*; D008954:Models, Biological; D020543:Proteome / Q000378:metabolism*; D015398:Signal Transduction / Q000502:physiology*; D009626:Terminology as Topic
chemical_list: D020543:Proteome