WebJun 10, 2016 · Gene regulatory networks can be successfully modeled as Boolean networks. A much discussed hypothesis says that such model networks reproduce empirical findings the best if they are tuned to operate at criticality, i.e. at the borderline between their ordered and disordered phases. Critical networks have been argued to … WebInterplay between gene expression noise and regulatory network architecture. Chalancon et al. (2012) Trends in Genetics 4(11) ... Intrinsic noise. Intrinsic noise relates to gene-specific features that ultimately are associated with a lower or higher propensity for stochastic gene expression.

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WebFeb 2, 2006 · In this study, a stochastic nonlinear dynamic model is developed for genetic regulatory networks under intrinsic fluctuation and extrinsic noise. By the method we proposed, we could determine the robust stability under intrinsic fluctuations and identify the genes that are significantly affected by … WebAug 1, 2004 · A single gene auto-regulatory network is analysed. The main goal is to investigate the effects of the negative and positive feedbacks on the intrinsic and external noises. The central finding of ... oregon labor law 2 hour minimum

Stochastic neural network models for gene regulatory networks

WebJul 17, 2001 · The noise strength immediately following single gene induction is almost twice the final steady-state value. We find that fluctuations in the concentrations of a regulatory protein can propagate through a genetic cascade; translational noise control could explain the inefficient translation rates observed for genes encoding such … WebJan 22, 2008 · Noise in Gene Regulatory Networks. Abstract: Life processes in single cells and at the molecular level are inherently stochastic. Quantifying the noise is, … oregon labor commissioners republican