scispace - formally typeset
M

Michel Page

Researcher at French Institute for Research in Computer Science and Automation

Publications -  38
Citations -  2116

Michel Page is an academic researcher from French Institute for Research in Computer Science and Automation. The author has contributed to research in topics: Model checking & Modeling and simulation. The author has an hindex of 21, co-authored 38 publications receiving 2037 citations. Previous affiliations of Michel Page include Pierre Mendès-France University & University of Grenoble.

Papers
More filters
Journal ArticleDOI

Qualitative Simulation of Genetic Regulatory Networks Using Piecewise-Linear Models

TL;DR: Given a qualitative model of a genetic regulatory network, consisting of a system of PL differential equations and inequality constraints on the parameter values, the method produces a graph of qualitative states and transitions between qualitative states, summarizing the qualitative dynamics of the system.
Journal ArticleDOI

Genetic Network Analyzer: qualitative simulation of genetic regulatory networks.

TL;DR: The tool is based on a qualitative simulation method that employs coarse-grained models of regulatory networks and illustrated by a case study of the network of genes and interactions regulating the initiation of sporulation in Bacillus subtilis.
Journal ArticleDOI

Validation of qualitative models of genetic regulatory networks by model checking: analysis of the nutritional stress response in Escherichia coli

TL;DR: The model-validation approach has been applied to the analysis of the network controlling the nutritional stress response in Escherichia coli and is supported by a new version of the computer tool Genetic Network Analyzer (GNA).
Journal ArticleDOI

Qualitative simulation of the carbon starvation response in Escherichia coli

TL;DR: This work model the carbon starvation response network and simulate the response of E. coli cells to carbon deprivation to identify essential features of the transition between exponential and stationary phase and to make new predictions on the qualitative system behavior following a carbon upshift.