TY - JOUR T1 - The Influence of Canalization on the Robustness of Boolean Networks JF - bioRxiv DO - 10.1101/064089 SP - 064089 AU - C. Kadelka AU - J. Kuipers AU - R. Laubenbacher Y1 - 2016/01/01 UR - http://biorxiv.org/content/early/2016/07/15/064089.abstract N2 - Time- and state-discrete dynamical systems are frequently used to model molecular networks. This paper provides a collection of mathematical and computational tools for the study of robustness in Boolean network models. The focus is on networks governed by k-canalizing functions, a recently introduced class of Boolean functions that contains the well-studied class of nested canalizing functions. The activities and sensitivity of a function quantify the impact of input changes on the function output. This paper generalizes the latter concept to c-sensitivity and provides formulas for the activities and c-sensitivity of general k-canalizing functions as well as canalizing functions with more precisely defined structure. A popular measure for the robustness of a network, the Derrida value, can be expressed as a weighted sum of the c-sensitivities of the governing canalizing functions, and can also be calculated for a stochastic extension of Boolean networks. These findings provide a computationally efficient way to obtain Derrida values of Boolean networks, deterministic or stochastic, that does not involve simulation. ER -