<p>This dissertation focuses on Boolean networks with a view to their applications in Systems Biology. We study two notions of stability, based on Hamming distance and on maintenance of a stable period length. Algorithms are given for the determination of Boolean networks from both complete and partial dynamics. The dynamics of ring networks are systematically studied. An algebraic structure is developed for derivation of adjacency matrices for the dynamics of Boolean networks from simple building blocks, both by edge-swapping and by gluing simple building blocks. Some results are implemented in Python and conclusions drawn for theta networks, a class of networks only slightly more complex than rings. A short section on applications to...
International audienceDeterministic Boolean networks are a type of discrete dynamical systems widely...
Abstract. In the applications of Boolean networks to modeling biological systems, an important compu...
In this work we propose a new approach to the stability analysis ofRandom Boolean Networks (RBNs). I...
<p>This dissertation presents three studies on Boolean networks. Boolean networks are a class of mat...
In a network, the components of a given system are represented as nodes, the interactions are abstra...
A Boolean network is a mapping f :{0,1}? ? {0,1}?, which can be used to model networks of n interact...
In a network, the components of a given system are represented as nodes, the interac-tions are abstr...
Among the various phenomena that can be modeled by Boolean networks, i.e., discrete-time dynamical s...
Boolean networks are a popular modeling framework in computational biology to capture the dynamics o...
AbstractBoolean networks have been frequently used to study the dynamics of biological networks. In ...
Abstract. The stability of Boolean networks and the stabilization of Boolean control networks are in...
Biochemical networks like intracellular signaling networks in cancer tumors can be modeled using mat...
International audienceBoolean models of physical or biological systems describe the global dynamics ...
Boolean networks are systems of variables that are either ON/1 or OFF/0, and a set of rules/function...
Time- and state-discrete dynamical systems are frequently used to model molecular networks. This pap...
International audienceDeterministic Boolean networks are a type of discrete dynamical systems widely...
Abstract. In the applications of Boolean networks to modeling biological systems, an important compu...
In this work we propose a new approach to the stability analysis ofRandom Boolean Networks (RBNs). I...
<p>This dissertation presents three studies on Boolean networks. Boolean networks are a class of mat...
In a network, the components of a given system are represented as nodes, the interactions are abstra...
A Boolean network is a mapping f :{0,1}? ? {0,1}?, which can be used to model networks of n interact...
In a network, the components of a given system are represented as nodes, the interac-tions are abstr...
Among the various phenomena that can be modeled by Boolean networks, i.e., discrete-time dynamical s...
Boolean networks are a popular modeling framework in computational biology to capture the dynamics o...
AbstractBoolean networks have been frequently used to study the dynamics of biological networks. In ...
Abstract. The stability of Boolean networks and the stabilization of Boolean control networks are in...
Biochemical networks like intracellular signaling networks in cancer tumors can be modeled using mat...
International audienceBoolean models of physical or biological systems describe the global dynamics ...
Boolean networks are systems of variables that are either ON/1 or OFF/0, and a set of rules/function...
Time- and state-discrete dynamical systems are frequently used to model molecular networks. This pap...
International audienceDeterministic Boolean networks are a type of discrete dynamical systems widely...
Abstract. In the applications of Boolean networks to modeling biological systems, an important compu...
In this work we propose a new approach to the stability analysis ofRandom Boolean Networks (RBNs). I...