Qualitative analysis of the relation between DNA microarray data and behavioral models of regulation networks

Anne Siegel 1 Ovidiu Radulescu 1, 2, * Michel Le Borgne 1 Philippe Veber 1 Julien Ouy 3 Sandrine Lagarrigue 4
* Auteur correspondant
1 SYMBIOSE - Biological systems and models, bioinformatics and sequences
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
3 ESPRESSO - Synchronous programming for the trusted component-based engineering of embedded systems and mission-critical systems
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
Abstract : We introduce a mathematical framework that allows to test the compatibility between differential data and knowledge on genetic and metabolic interactions. Within this framework a behavioral model is represented by a labeled oriented interaction graph; its predictions can be compared to experimental data. The comparison is qualitative and relies on a system of linear qualitative equations derived from the interaction graph. We show how to partially solve the qualitative system, how to identify incompatibilities between the model and the data, and how to detect competitions in the biological processes that are modeled. This approach can be used for the analysis of transcriptomic, metabolic or proteomic data.
Type de document :
Article dans une revue
BioSystems, Elsevier, 2006, 84, pp.153-174
Liste complète des métadonnées

Littérature citée [54 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/inria-00178809
Contributeur : Anne Siegel <>
Soumis le : vendredi 12 octobre 2007 - 12:06:26
Dernière modification le : mardi 19 juin 2018 - 11:12:06
Document(s) archivé(s) le : dimanche 11 avril 2010 - 22:52:37

Fichier

BiosystemsSRLVOL.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : inria-00178809, version 1

Citation

Anne Siegel, Ovidiu Radulescu, Michel Le Borgne, Philippe Veber, Julien Ouy, et al.. Qualitative analysis of the relation between DNA microarray data and behavioral models of regulation networks. BioSystems, Elsevier, 2006, 84, pp.153-174. 〈inria-00178809〉

Partager

Métriques

Consultations de la notice

599

Téléchargements de fichiers

391