Results 21 to 30 of about 849 (213)
Boolean Networks as Modeling Framework [PDF]
Frontiers in Plant Science, 2012 In a network, the components of a given system are represented as nodes, the interactions are abstracted as links between the nodes. Boolean networks refer to a class of dynamics on networks, in fact it is the simplest possible dynamics where each node has a value 0 or 1.
Florian eGreil, Florian eGreil
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On Identification of Boolean Control Networks
SIAM Journal on Control and Optimization, 2022 A new analytical framework consisting of two phenomena: single sample and multiple samples, is proposed to deal with the identification problem of Boolean control networks (BCNs) systematically and comprehensively. Under this framework, the existing works on identification can be categorized as special cases of these two phenomena.
Biao Wang 0003 +2 more
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Synchronizing Boolean Networks Asynchronously
SSRN Electronic Journal, 2022 The {\em asynchronous automaton} associated with a Boolean network $f:\{0,1\}^n\to\{0,1\}^n$, considered in many applications, is the finite deterministic automaton where the set of states is $\{0,1\}^n$, the alphabet is $[n]$, and the action of letter $i$ on a state $x$ consists in either switching the $i$th component if $f_i(x)\neq x_i$ or doing ...
Julio Aracena +2 more
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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
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BMC Bioinformatics, 2017 Background Gene regulatory networks govern the function of key cellular processes, such as control of the cell cycle, response to stress, DNA repair mechanisms, and more.
Levi D. Mcclenny +2 more
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Modular Random Boolean Networks [PDF]
Artificial Life, 2011 Random Boolean networks (RBNs) have been a popular model of genetic regulatory networks for more than four decades. However, most RBN studies have been made with random topologies, while real regulatory networks have been found to be modular. In this work, we extend classical RBNs to define modular RBNs.
Rodrigo Poblanno-Balp, Carlos Gershenson
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On the Lyapunov Exponent of Monotone Boolean Networks †
Mathematics, 2020 Boolean networks are discrete dynamical systems comprised of coupled Boolean functions. An important parameter that characterizes such systems is the Lyapunov exponent, which measures the state stability of the system to small perturbations.
Ilya Shmulevich
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On Fixable Families of Boolean Networks [PDF]
, 2018 The asynchronous dynamics associated with a Boolean network $f : \{0,1\}^n \to \{0,1\}^n$ is a finite deterministic automaton considered in many applications. The set of states is $\{0,1\}^n$, the alphabet is $[n]$, and the action of letter $i$ on a state $x$ consists in either switching the $i$th component if $f_i(x)\neq x_i$ or doing nothing ...
Maximilien Gadouleau, Adrien Richard
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Therapeutic target discovery using Boolean network attractors: improvements of kali [PDF]
Royal Society Open Science, 2018 In a previous article, an algorithm for identifying therapeutic targets in Boolean networks modelling pathological mechanisms was introduced. In the present article, the improvements made on this algorithm, named kali, are described.
Arnaud Poret, Carito Guziolowski
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IEEE/ACM Transactions on Networking, 2018 This paper proposes and investigates a Boolean gossip model as a simplified but non-trivial probabilistic Boolean network. With positive node interactions, in view of standard theories from Markov chains, we prove that the node states asymptotically converge to an agreement at a binary random variable, whose distribution is characterized for large ...
Bo Li 0039 +4 more
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