Results 41 to 50 of about 106,502 (281)
Scientific Reports, 2022 The cell division cycle is regulated by a complex network of interacting genes and proteins. The control system has been modeled in many ways, from qualitative Boolean switching-networks to quantitative differential equations and highly detailed ...
Teeraphan Laomettachit +2 more
doaj +1 more source
Optimal control for probabilistic Boolean networks
IET Systems Biology, 2010 Aberrant gene functions usually contribute to the pathology or diseases. Avoiding undesirable cellular phenotypes as many as possible is a major purpose of external control for gene regulatory networks. An interesting question is how to control a gene network subjected to the condition that the genes reach some undesirable states with minimal ...
Q, Liu, X, Guo, T, Zhou
openaire +2 more sources
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
core +1 more source
Event-Triggered Control for the Stabilization of Probabilistic Boolean Control Networks
Complexity, 2018 This paper realizes global stabilization for probabilistic Boolean control networks (PBCNs) with event-triggered state feedback control (ETSFC). Via the semitensor product (STP) of matrices, PBCNs with ETSFC are converted into discrete-time algebraic ...
Shiyong Zhu +4 more
doaj +1 more source
Chaos control in random Boolean networks by reducing mean damage percolation rate
, 2010 Chaos control in Random Boolean networks is implemented by freezing part of the network to drive it from chaotic to ordered phase. However, controlled nodes are only viewed as passive blocks to prevent perturbation spread.
Gershenson C +7 more
core +1 more source
The number and probability of canalizing functions
, 2003 Canalizing functions have important applications in physics and biology. For example, they represent a mechanism capable of stabilizing chaotic behavior in Boolean network models of discrete dynamical systems.
Aldana +20 more
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Double Deep-Q Learning-Based Output Tracking of Probabilistic Boolean Control Networks
IEEE Access, 2020 In this article, a reinforcement learning (RL)-based scalable technique is presented to control the probabilistic Boolean control networks (PBCNs). In particular, a double deep- $Q$ network (DD $Q\text{N}$ ) approach is firstly proposed to address the ...
Antonio Acernese +3 more
doaj +1 more source
Time-delayed models of gene regulatory networks [PDF]
, 2015 We discuss different mathematical models of gene regulatory networks as relevant to the onset and development of cancer. After discussion of alternativemodelling approaches, we use a paradigmatic two-gene network to focus on the role played by time ...
Blyuss, K B +3 more
core +4 more sources
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
Algorithms for leader selection in stochastically forced consensus networks
, 2013 We are interested in assigning a pre-specified number of nodes as leaders in order to minimize the mean-square deviation from consensus in stochastically forced networks.
Fardad, Makan +2 more
core +1 more source