title: On the robustness of complex heterogeneous gene expression networks.
abstract: We analyze a continuous gene expression model on the underlying topology of a complex heterogeneous network. Numerical simulations aimed at studying the chaotic and periodic dynamics of the model are performed. The results clearly indicate that there is a region in which the dynamical and structural complexity of the system avoid chaotic attractors. However, contrary to what has been reported for Random Boolean Networks, the chaotic phase cannot be completely suppressed, which has important bearings on network robustness and gene expression modeling.
authors.affiliation: Departamento de Teoría y Simulación de Sistemas Complejos, Instituto de Ciencia de Materiales de Aragón, C.S.I.C.-Universidad de Zaragoza, Zaragoza 50009, Spain.
authors.forename: Jesús
authors.initials: J
authors.lastname: Gómez-Gardeñes
authors.forename: Yamir
authors.initials: Y
authors.lastname: Moreno
authors.forename: Luis M
authors.initials: LM
authors.lastname: Floría
mesh_terms: D003198:Computer Simulation; D005786:Gene Expression Regulation; D008957:Models, Genetic; D011336:Probability