Boolean modelling of gene regulation but also of post-transcriptomic systems has proven
over the years that it can bring powerful analyses and corresponding insight to the many …

A Boolean network (BN) is a discrete dynamical system defined by a Boolean function that
maps to the domain itself. A trap space of a BN is a generalization of a fixed point, which is …

Boolean networks are commonly used in systems biology to model dynamics of biochemical
networks by abstracting away many (and often unknown) parameters related to speed and …

Boolean networks (BNs) are widely used to model the qualitative dynamics of biological
systems. Besides the logical rules determining the evolution of each component with respect …

Motivation Boolean networks are simple but efficient mathematical formalism for modelling
complex biological systems. However, having only two levels of activation is sometimes not …

Boolean networks (BNs) play a crucial role in modeling and analyzing biological systems.
One of the central issues in the analysis of BNs is attractor detection, ie, identification of all …

Boolean networks offer an elegant way to model the behaviour of complex systems with
positive and negative feedback. The long-term behaviour of a Boolean network is …

Boolean network modeling of gene regulation but also of post-transcriptomic systems has
proven over the years that it can bring powerful analyses and corresponding insight to the …

Detection of bottom strongly connected components (BSCC) in state-transition graphs is an
important problem with many applications, such as detecting recurrent states in Markov …

We consider networks of finite-state machines having local transitions conditioned by the
current state of other automata. In this paper, we introduce a reduction procedure tailored for …