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Dynamical Criticality in Gene Regulatory Networks
Joint Authors
La Rocca, Luca
Kauffman, Stuart Alan
Serra, Roberto
Villani, Marco
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-10-04
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
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 S.
cerevisiae, laying down a statistical framework to determine its dynamical regime.
We find that the 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.
American Psychological Association (APA)
Villani, Marco& La Rocca, Luca& Kauffman, Stuart Alan& Serra, Roberto. 2018. Dynamical Criticality in Gene Regulatory Networks. Complexity،Vol. 2018, no. 2018, pp.1-14.
https://search.emarefa.net/detail/BIM-1134898
Modern Language Association (MLA)
Villani, Marco…[et al.]. Dynamical Criticality in Gene Regulatory Networks. Complexity No. 2018 (2018), pp.1-14.
https://search.emarefa.net/detail/BIM-1134898
American Medical Association (AMA)
Villani, Marco& La Rocca, Luca& Kauffman, Stuart Alan& Serra, Roberto. Dynamical Criticality in Gene Regulatory Networks. Complexity. 2018. Vol. 2018, no. 2018, pp.1-14.
https://search.emarefa.net/detail/BIM-1134898
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1134898