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Embedding of Biological Regulatory Networks and Property Preservation
Authors:Mbarka Mabrouki  Marc Aiguier  Jean-Paul Comet  Pascale Le Gall  Adrien Richard
Institution:1. Laboratoire d??informatique (LIX), 91128, Palaiseau, France
2. Laboratoire de Math??matiques Appliqu??es aux Syst??mes (MAS), Grande Voie des Vignes, 92295, Chatenay-Malabry, France
3. Laboratoire I3S, UMR 6070 CNRS/UNSA, Algorithmes-Euclide-B, 2000 route des Lucioles, B.P. 121, 06903, Sophia-Antipolis, France
4. Programme d??Epig??nomique, 5 rue Henri Desbru??res, 91030, Evry, France
Abstract:In the course of understanding biological regulatory networks (BRN), scientists usually start by studying small BRNs that they believe to be of particular importance to represent a biological function, and then, embed them in a larger network. Such a reduction can lead to neglect relevant regulations and to study a network whose properties can be very different from the properties of this network viewed as a part of the whole. In this paper we study, from a logical point of view, on which conditions concerning both networks, properties can be inherited by BRNs from sub-BRNs. We give some conditions on the nature of the network embeddings ensuring that dynamic properties on the embedded sub-BRNs are preserved at the level of the whole BRN.
Keywords:
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