Results 31 to 40 of about 167,571 (284)
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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Molecular Network Control Through Boolean Canalization [PDF]
, 2015 Boolean networks are an important class of computational models for molecular interaction networks. Boolean canalization, a type of hierarchical clustering of the inputs of a Boolean function, has been extensively studied in the context of network ...
Dimitrova, Elena S., Murrugarra, David
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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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Multilayer neural networks with extensively many hidden units [PDF]
, 2001 The information processing abilities of a multilayer neural network with a number of hidden units scaling as the input dimension are studied using statistical mechanics methods. The mapping from the input layer to the hidden units is performed by general
A. Bethge +26 more
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A full bayesian approach for boolean genetic network inference. [PDF]
PLoS ONE, 2014 Boolean networks are a simple but efficient model for describing gene regulatory systems. A number of algorithms have been proposed to infer Boolean networks.
Shengtong Han +5 more
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Frontiers in Physiology, 2020 The molecular regulatory network (MRN) within a cell determines cellular states and transitions between them. Thus, modeling of MRNs is crucial, but this usually requires extensive analysis of time-series measurements, which is extremely difficult to ...
Sang-Mok Choo +2 more
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InformatikaObjectives. The purpose of experimental research is to determine the effectiveness of new algorithms for extracting the so-called connected subsystems from formula descriptions of the original system of Boolean functions.
P. N. Bibilo +2 more
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Symmetry in Critical Random Boolean Network Dynamics
, 2014 Using Boolean networks as prototypical examples, the role of symmetry in the dynamics of heterogeneous complex systems is explored. We show that symmetry of the dynamics, especially in critical states, is a controlling feature that can be used both to ...
Bassler, Kevin E. +2 more
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Therapeutic target discovery using Boolean network attractors: avoiding pathological phenotypes [PDF]
, 2014 Target identification, one of the steps of drug discovery, aims at identifying biomolecules whose function should be therapeutically altered in order to cure the considered pathology.
Boissel, Jean-Pierre, Poret, Arnaud
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Physical random analysis of Boolean chaos
Tongxin xuebao, 2019 To analyze the physical randomness of Boolean chaos,the model for chaotic circuit system based on autonomous Boolean network was established.In addition,the equations of the Boolean network with phase noise were deduced.By considering the phase noise,the
Lishuang GONG +4 more
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