Results 41 to 50 of about 6,955,412 (269)
ATEN: And/Or tree ensemble for inferring accurate Boolean network topology and dynamics
Bioinform., 2019 MOTIVATION Inferring gene regulatory networks from gene expression time series data is important for gaining insights into the complex processes of cell life. A popular approach is to infer Boolean networks.
Ning Shi +4 more
semanticscholar +1 more source
A Boolean network inference from time‐series gene expression data using a genetic algorithm
Bioinform., 2018 Motivation Inferring a gene regulatory network from time‐series gene expression data is a fundamental problem in systems biology, and many methods have been proposed.
Shohag Barman, Yung-Keun Kwon
semanticscholar +1 more source
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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On Circuit Functionality in Boolean Networks
Bulletin of Mathematical Biology, 2013 It has been proved, for several classes of continuous and discrete dynamical systems, that the presence of a positive (resp. negative) circuit in the interaction graph of a system is a necessary condition for the presence of multiple stable states (resp. a cyclic attractor). A positive (resp.
Comet, Jean-Paul +9 more
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PLoS ONE, 2017 Background Inferring a gene regulatory network from time-series gene expression data in systems biology is a challenging problem. Many methods have been suggested, most of which have a scalability limitation due to the combinatorial cost of searching a ...
Shohag Barman, Yung-Keun Kwon
semanticscholar +1 more source
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
doaj +1 more source
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
doaj +1 more source
On the effects of firing memory in the dynamics of conjunctive networks [PDF]
, 2019 Boolean networks are one of the most studied discrete models in the context of the study of gene expression. In order to define the dynamics associated to a Boolean network, there are several \emph{update schemes} that range from parallel or \emph ...
Goles, Eric +2 more
core +4 more sources
Stability of linear Boolean networks
Physica D: Nonlinear Phenomena, 2023 18 pages, 3 ...
Karthik Chandrasekhar +3 more
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Determining Relative Dynamic Stability of Cell States Using Boolean Network Model
Scientific Reports, 2018 Cell state transition is at the core of biological processes in metazoan, which includes cell differentiation, epithelial-to-mesenchymal transition (EMT) and cell reprogramming.
J. Joo +3 more
semanticscholar +1 more source