TY - GEN A1 - Twardziok, Sven A1 - Siebert, Heike A1 - Heyl, Alexander T1 - Stochasticity in reactions: a probabilistic Boolean modeling approach N2 - Boolean modeling frameworks have long since proved their worth for capturing and analyzing essential characteristics of complex systems. Hybrid approaches aim at exploiting the advantages of Boolean formalisms while refining expressiveness. In this paper, we present a formalism that augments Boolean models with stochastic aspects. More specifically, biological reactions effecting a system in a given state are associated with probabilities, resulting in dynamical behavior represented as a Markov chain. Using this approach, we model and analyze the cytokinin response network of Arabidopsis thaliana with a focus on clarifying the character of an important feedback mechanism. Y1 - 2010 UR - https://opus4.kobv.de/opus4-matheon/frontdoor/index/index/docId/704 UR - https://nbn-resolving.org/urn:nbn:de:0296-matheon-7042 ER -