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Scale invariance analysis for genetic networks applying homogeneity

Authors :
Wilfrid Perruquetti
Emmanuel Bernuau
Denis Efimov
Institut de Recherche en Communications et en Cybernétique de Nantes (IRCCyN)
Mines Nantes (Mines Nantes)-École Centrale de Nantes (ECN)-Ecole Polytechnique de l'Université de Nantes (EPUN)
Université de Nantes (UN)-Université de Nantes (UN)-PRES Université Nantes Angers Le Mans (UNAM)-Centre National de la Recherche Scientifique (CNRS)
Non-Asymptotic estimation for online systems (NON-A)
Inria Lille - Nord Europe
Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL)
Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)
Source :
Journal of Mathematical Biology, Journal of Mathematical Biology, 2015, 72, pp.1--10. ⟨10.1007/s00285-015-0923-y⟩, Journal of Mathematical Biology, Springer Verlag (Germany), 2015, 72, pp.1--10. ⟨10.1007/s00285-015-0923-y⟩
Publication Year :
2015
Publisher :
HAL CCSD, 2015.

Abstract

International audience; Scalability is a property describing the change of the trajectory of a dynamical system under a scaling of the input stimulus and of the initial conditions. Particular cases of scalability include the scale invariance and fold change detection (when the scaling of the input does not influence the system output). In the present paper it is shown that homogeneous systems have this scalability property while locally homogeneous systems approximately possess this property. These facts are used for detecting scale invariance or approximate scalability (far from a steady state) in several biological systems. The results are illustrated by various regulatory networks.

Details

Language :
English
ISSN :
03036812 and 14321416
Database :
OpenAIRE
Journal :
Journal of Mathematical Biology, Journal of Mathematical Biology, 2015, 72, pp.1--10. ⟨10.1007/s00285-015-0923-y⟩, Journal of Mathematical Biology, Springer Verlag (Germany), 2015, 72, pp.1--10. ⟨10.1007/s00285-015-0923-y⟩
Accession number :
edsair.doi.dedup.....57ded6a2fa98d0032c97b4c9afa110bb