Analysis and Verification of Qualitative Models of Genetic Regulatory Networks: A Model-Checking Approach
Abstract
Methods developed for the qualitative simulation of dynamical systems have turned out to be powerful tools for studying genetic regulatory networks. A bottleneck in the application of these methods is the analysis of the simulation results. In this paper, we propose a combination of qualitative simulation and model-checking techniques to perform this task systematically and efficiently. We apply our approach to the analysis of the complex network controlling the nutritional stress response in the bacterium Escherichia coli. 1
Cite
Text
Batt et al. "Analysis and Verification of Qualitative Models of Genetic Regulatory Networks: A Model-Checking Approach." International Joint Conference on Artificial Intelligence, 2005.Markdown
[Batt et al. "Analysis and Verification of Qualitative Models of Genetic Regulatory Networks: A Model-Checking Approach." International Joint Conference on Artificial Intelligence, 2005.](https://mlanthology.org/ijcai/2005/batt2005ijcai-analysis/)BibTeX
@inproceedings{batt2005ijcai-analysis,
title = {{Analysis and Verification of Qualitative Models of Genetic Regulatory Networks: A Model-Checking Approach}},
author = {Batt, Grégory and Ropers, Delphine and de Jong, Hidde and Geiselmann, Johannes and Mateescu, Radu and Page, Michel and Schneider, Dominique},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {2005},
pages = {370-375},
url = {https://mlanthology.org/ijcai/2005/batt2005ijcai-analysis/}
}