Complex Qualitative Models in Biology: a new approach

2006/04/13 by Philippe Veber, Michel Le_Borgne, Veber, Philippe +7
Biochemistry, Genetics and Molecular Biology · Computer Science · #Bioinformatics and Genomic Networks #Computational Drug Discovery Methods #FOS: Biological sciences #Gene Regulatory Network Analysis #Molecular Networks (q-bio.MN) #q-bio.MN

paper · pdf · doi:10.48550/arxiv.q-bio/0604017

15 pages, 2 figures, ECCS'05, to appear in Complexus

arxiv created 2006/04/13 · openalex publication_date 2006/04/13 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

We advocate the use of qualitative models in the analysis of large biological systems. We show how qualitative models are linked to theoretical differential models and practical graphical models of biological networks. A new technique for analyzing qualitative models is introduced, which is based on an efficient representation of qualitative systems. As shown through several applications, this representation is a relevant tool for the understanding and testing of large and complex biological networks.

Citations

• Graph-Based Algorithms for Boolean Function Manipulation
• A computational algebra approach to the reverse engineering of gene regulatory networks

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