Dynamical criticality in gene regulatory networks
type: Item
instance of: scholarly article
title: Dynamical criticality in gene regulatory networks
zbMATH Open document ID: 1405.92111
DOI: 10.1155/2018/5980636
author: Marco Villani
author: Luca La Rocca
author: Stuart A. Kauffman
author: Roberto M. Serra
published in: Complexity
publication date: 2018-12-17T00:00:00Z
review text: Summary: A well-known hypothesis, with far-reaching implications, is that biological evolution should preferentially lead to states that are dynamically critical. In previous papers, we showed that a well-known model of genetic regulatory networks, namely, that of random Boolean networks, allows one to study in depth the relationship between the dynamical regime of a living being's gene network and its response to permanent perturbations. In this paper, we analyze a huge set of new experimental data on single gene knockouts in \textit{S. cerevisiae}, laying down a statistical framework to determine its dynamical regime. We find that the \textit{S. cerevisiae} network appears to be slightly ordered, but close to the critical region. Since our analysis relies on dichotomizing continuous data, we carefully consider the issue of an optimal threshold choice.
Mathematics Subject Classification ID: 92C42
Mathematics Subject Classification ID: 92D10
zbMATH DE Number: 6994161
describes a project that uses: R
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2018/5980636
OpenAlex ID: W2894827346
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Wikidata QID: Q129166230
description: scientific article; zbMATH DE number 6994161