Results 21 to 30 of about 6,955,412 (269)
Quantum annealing algorithms for Boolean tensor networks
Scientific Reports, 2022 Quantum annealers manufactured by D-Wave Systems, Inc., are computational devices capable of finding high-quality heuristic solutions of NP-hard problems.
Elijah Pelofske +4 more
doaj +1 more source
A parallel attractor-finding algorithm based on Boolean satisfiability for genetic regulatory networks. [PDF]
PLoS ONE, 2014 In biological systems, the dynamic analysis method has gained increasing attention in the past decade. The Boolean network is the most common model of a genetic regulatory network.
Wensheng Guo +4 more
doaj +1 more source
Interplay between degree and Boolean rules in the stability of Boolean networks
, 2021 Empirical evidence has revealed that biological regulatory systems are controlled by high-level coordination between topology and Boolean rules. In this study, we study the joint effects of degree and Boolean functions on the stability of Boolean ...
Min, Byungjoon
core +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 +3 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 +2 more sources
Bioinform., 2023 Motivation From a systematic perspective, it is crucial to infer and analyze gene regulatory network (GRN) from high-throughput single-cell RNA sequencing data.
Lingyu Li +5 more
semanticscholar +1 more source
An Evaluation of Methods for Inferring Boolean Networks from Time-Series Data. [PDF]
PLoS ONE, 2013 Regulatory networks play a central role in cellular behavior and decision making. Learning these regulatory networks is a major task in biology, and devising computational methods and mathematical models for this task is a major endeavor in ...
Natalie Berestovsky, Luay Nakhleh
doaj +1 more source
Review and assessment of Boolean approaches for inference of gene regulatory networks
Heliyon, 2022 Boolean descriptions of gene regulatory networks can provide an insight into interactions between genes. Boolean networks hold predictive power, are easy to understand, and can be used to simulate the observed networks in different scenarios.We review ...
Žiga Pušnik +3 more
doaj +1 more source
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
openaire +4 more sources
Extending boolean regulatory network models with answer set programming [PDF]
, 2010 Because of their simplicity, boolean networks are a popular formalism to model gene regulatory networks. However, they have their limitations, including their inability to formally and unambiguously define network behaviour, and their lack of the ...
Fayruzov, Timur +4 more
core +2 more sources