International audienceBoolean networks model finite discrete dynamical systems with complex behaviours. The state of each component is determined by a Boolean function of the state of (a subset of) the components of the network. This paper addresses the synthesis of these Boolean functions from constraints on their domain and emerging dynamical properties of the resulting network. The dynamical properties relate to the existence and absence of trajectories between partially observed configurations, and to the stable behaviours (fixpoints and cyclic attractors). The synthesis is expressed as a Boolean satisfiability problem relying on Answer-Set Programming with a parametrized complexity, and leads to a complete non-redundant characterizatio...
Abstract: Recently, many approaches to model regulatory networks have been proposed in the systems b...
International audienceWe propose to simulate chemical reaction networks with the deterministic seman...
Boolean networks provide a simple yet powerful qualitative modeling approach in systems biology. How...
International audienceBoolean networks model finite discrete dynamical systems with complex behaviou...
International audienceBoolean Networks (BNs) are a simple formalism used to study complex biological...
International audienceThe construction of models of biological networks from prior knowledge and exp...
Abstract Background Boolean models of biological signalling-regulatory networks are increasingly use...
International audienceBoolean Networks (BNs) are an efficient modeling formalism with applications i...
International audienceBackgroundNumerous cellular differentiation processes can be captured using di...
Because of their simplicity, boolean networks are a popular formalism to model gene regulatory netwo...
Among the various phenomena that can be modeled by Boolean networks, i.e., discrete-time dynamical s...
International audienceAiming at assessing differentiation processes in complex dy-namical systems, t...
Random Boolean networks are a widely acknowledged model for cell dynamics. Previous studies have sho...
Abstract: Recently, many approaches to model regulatory networks have been proposed in the systems b...
International audienceWe propose to simulate chemical reaction networks with the deterministic seman...
Boolean networks provide a simple yet powerful qualitative modeling approach in systems biology. How...
International audienceBoolean networks model finite discrete dynamical systems with complex behaviou...
International audienceBoolean Networks (BNs) are a simple formalism used to study complex biological...
International audienceThe construction of models of biological networks from prior knowledge and exp...
Abstract Background Boolean models of biological signalling-regulatory networks are increasingly use...
International audienceBoolean Networks (BNs) are an efficient modeling formalism with applications i...
International audienceBackgroundNumerous cellular differentiation processes can be captured using di...
Because of their simplicity, boolean networks are a popular formalism to model gene regulatory netwo...
Among the various phenomena that can be modeled by Boolean networks, i.e., discrete-time dynamical s...
International audienceAiming at assessing differentiation processes in complex dy-namical systems, t...
Random Boolean networks are a widely acknowledged model for cell dynamics. Previous studies have sho...
Abstract: Recently, many approaches to model regulatory networks have been proposed in the systems b...
International audienceWe propose to simulate chemical reaction networks with the deterministic seman...
Boolean networks provide a simple yet powerful qualitative modeling approach in systems biology. How...