Web1 de nov. de 2007 · Background The regulation of gene expression is achieved through gene regulatory networks (GRNs) in which collections of genes interact with one another and other substances in a cell. In order to understand the underlying function of organisms, it is necessary to study the behavior of genes in a gene regulatory network context. … Web25 de nov. de 2024 · Using semi-tensor product (STP) of matrices and the algebraic state-space representation (ASSR) of Boolean networks, this paper reveals that in addition to …
(PDF) Neural Networks - A Model of Boolean Functions
Web21 de set. de 2024 · In this paper, output feedback control (OFC) stabilization of hidden Markov Boolean control networks (HMBCNs) is studied. Using semi-tensor product of matrices, the OFC problems to be solved are presented in algebraic form. All feasible OFC gains have been characterized. A special kind of attack on the HMBCNs, named shifting … WebInstead of a trajectory, which describes the evolution of a state, the hidden order provides a global horizon to describe the evolution of the overall network. We conjecture that the … song about hurricane katrina
Hidden Order of Boolean Networks
Web2 de set. de 2024 · Gene regulatory networks (GRNs) describe how a collection of genes governs the processes within a cell. Understanding how GRNs manage to consistently perform a particular function constitutes a key question in cell biology. GRNs are frequently modeled as Boolean networks, which are intuitive, simple to describe, and can yield … Web5 de dez. de 2016 · Boolean networks offer an intuitive approach to simulate the dynamics of interaction networks. In cell biology these are usually gene regulatory or signal … Weborder of networks is mainly determined by the dual attractors via their corresponding hidden orders. The previously obtained results about Boolean networks are further … song about history of samurai