Results 11 to 20 of about 4,684,489 (303)
The power of Boolean implication networks [PDF]
Frontiers in Physiology, 2012 Human diseases have been investigated in the context of single genes as well as complex networks of genes. Though single gene approaches have been extremely successful in the past, most human diseases are complex and better characterized by multiple ...
Debashis eSahoo
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The Dynamics of Canalizing Boolean Networks
Complexity, 2020 Boolean networks are a popular modeling framework in computational biology to capture the dynamics of molecular networks, such as gene regulatory networks.
Elijah Paul +3 more
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Inference of a probabilistic Boolean network from a single observed temporal sequence [PDF]
, 2007 The inference of gene regulatory networks is a key issue for genomic signal processing. This paper addresses the inference of probabilistic Boolean networks (PBNs) from observed temporal sequences of network states.
Xiao, Y. +3 more
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Reducing Boolean Networks with Backward Boolean Equivalence [PDF]
, 2021 Boolean Networks (BNs) are established models to qualitatively describe biological systems. The analysis of BNs might be infeasible for medium to large BNs due to the state-space explosion problem. We propose a novel reduction technique called \emph{Backward Boolean Equivalence} (BBE), which preserves some properties of interest of BNs.
Georgios Argyris +4 more
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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
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Interpolative Boolean Networks [PDF]
Complexity, 2017 Boolean networks are used for modeling and analysis of complex systems of interacting entities. Classical Boolean networks are binary and they are relevant for modeling systems with complex switch-like causal interactions. More descriptive power can be provided by the introduction of gradation in this model.
Vladimir Dobric +4 more
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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
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Bifurcations in Boolean Networks [PDF]
Discrete Mathematics & Theoretical Computer Science, 2011 This paper characterizes the attractor structure of synchronous and asynchronous Boolean networks induced by bi-threshold functions. Bi-threshold functions are generalizations of standard threshold functions and have separate threshold values for the transitions $0 \rightarrow $1 (up-threshold) and $1 \rightarrow 0$ (down-threshold).
Kuhlman, Chris +3 more
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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
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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
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