Results 21 to 30 of about 2,853,210 (289)
Inferring context-sensitive probablistic boolean networks from gene expression data under multi-biological conditions [PDF]
, 2007 In recent years biological microarrays have emerged as a high-throughput data acquisition technology in bioinformatics. In conjunction with this, there is an increasing need to develop frameworks for the formal analysis of biological pathways. A modeling
Marshall, Stephen, Yu, Le
core +4 more sources
Identification problems for Boolean networks and Boolean control networks
IFAC Proceedings Volumes, 2014 In this paper we address various forms of identification problems for Boolean networks (BNs) and for Boolean control networks (BCNs). For the former, we assume to have a set of infinite or finite support output trajectories and we want to identify a BN ...
FORNASINI, ETTORE, VALCHER, MARIA ELENA
core +3 more sources
Quotients of Probabilistic Boolean Networks [PDF]
IEEE Transactions on Automatic Control, 2022 A probabilistic Boolean network (PBN) is a discrete-time system composed of a collection of Boolean networks between which the PBN switches in a stochastic manner. This paper focuses on the study of quotients of PBNs. Given a PBN and an equivalence relation on its state set, we consider a probabilistic transition system that is generated by the PBN ...
Rui Li 0007 +2 more
openaire +2 more sources
Symmetrizable Boolean networks
Information Sciences, 2023 In this work, we provide a procedure that allows us to transform certain kinds of deterministic Boolean networks on minterm or maxterm functions into symmetric ones, so inferring that such symmetrizable networks can present only periodic points of periods 1 or 2. In particular, we deal with generalized parallel (or synchronous) dynamical systems (GPDS)
Juan A. Aledo +4 more
openaire +2 more sources
Parallel One-Step Control of Parametrised Boolean Networks
Mathematics, 2021 Boolean network (BN) is a simple model widely used to study complex dynamic behaviour of biological systems. Nonetheless, it might be difficult to gather enough data to precisely capture the behavior of a biological system into a set of Boolean functions.
Luboš Brim +3 more
doaj +1 more source
Boolean network model predicts knockout mutant phenotypes of fission yeast. [PDF]
PLoS ONE, 2013 Boolean networks (ornetworks of switches) are extremely simple mathematical models of biochemical signaling networks. Under certain circumstances, Boolean networks, despite their simplicity, are capable of predicting dynamical activation patterns of gene
Maria I Davidich, Stefan Bornholdt
doaj +1 more source
Asynchronous Simulation of Boolean Networks by Monotone Boolean Networks [PDF]
, 2016 To appear in the proceedings of ACA 2016 (fourth International Workshop on Asynchronous Cellular Automata and Asynchronous Discrete Models)
Melliti, Tarek +3 more
openaire +5 more sources
Concurrency in Boolean networks [PDF]
Natural Computing, 2019 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 to the state of its regulators, the scheduling of component updates can have a dramatic impact on the predicted behaviours.
Chatain, Thomas +4 more
openaire +3 more sources
On the Periodic Structure of Parallel Dynamical Systems on Generalized Independent Boolean Functions
Mathematics, 2020 In this paper, based on previous results on AND-OR parallel dynamical systems over directed graphs, we give a more general pattern of local functions that also provides fixed point systems.
Juan A. Aledo +4 more
doaj +1 more source
Boolean random networks: phase transition and connectivity [PDF]
, 2023 openIn this thesis I introduce some random network models, with a particular focus on boolean random networks. After having provided the necessary theoretical background, several results related to two topics concerning boolean networks are discussed ...
SPISSO, GIOVANNI
core