Results 31 to 40 of about 140,409 (275)
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
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Boolean modelling in plant biology
Quantitative Plant Biology, 2022 Signalling and genetic networks underlie most biological processes and are often complex, containing many highly connected components. Modelling these networks can provide insight into mechanisms but is challenging given that rate parameters are often ...
Aravind Karanam, Wouter-Jan Rappel
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optPBN: an optimisation toolbox for probabilistic Boolean networks.
PLoS ONE, 2014 BackgroundThere exist several computational tools which allow for the optimisation and inference of biological networks using a Boolean formalism. Nevertheless, the results from such tools yield only limited quantitative insights into the complexity of ...
Panuwat Trairatphisan +4 more
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The power of Boolean implication networks
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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Sensitivities and block sensitivities of elementary symmetric Boolean functions
Journal of Mathematical Cryptology, 2021 Boolean functions have important applications in molecular regulatory networks, engineering, cryptography, information technology, and computer science. Symmetric Boolean functions have received a lot of attention in several decades.
Zhang Jing, Li Yuan, Adeyeye John O.
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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 ...
Chris Kuhlman +3 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, Qi Zhang, Tianguang Chu
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Logical computation with self-assembling electric circuits
PLoS ONE, 2022 Inspired by self-assembled biological growth, the Circuit Tile Assembly Model (cTAM) was developed to provide insights into signal propagation, information processing, and computation in bioelectric networks. The cTAM is an abstract model that produces a
Rojoba Yasmin, Russell Deaton
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Delay Partial Synchronization of Mutual Delay Coupled Boolean Networks
Measurement + Control, 2020 This paper studies the delay partial synchronization for mutual delay-coupled Boolean networks. First, the mutual delay-coupled Boolean network model is presented.
Qiang Wei +3 more
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Frontiers in Physiology, 2018 Here we introduce bioLQM, a new Java software toolkit for the conversion, modification, and analysis of Logical Qualitative Models of biological regulatory networks.
Aurélien Naldi
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