Reconstruction of switching thresholds in piecewise-affine models of genetic regulatory networks
type: Distribution
access URL: https://inria.hal.science/inria-00081608
format: HTML
issued: 2026-05-11T04:16:08.938432
modified: 2026-05-11T04:16:08.887495

test_moissonnage_selune
type: Agent

Reconstruction of switching thresholds in piecewise-affine models of genetic regulatory networks
type: Dataset
contact point: Organization
  fn: CCSD
keyword: acm-c-computer-systems-organizationc1-processor-architecturesc13-other-architecture-styles
keyword: system-identification
keyword: hybrid-systems
keyword: differential-equations-with-discontinuous-righthand-sides
keyword: infoinfo-ohcomputer-science-csother-csoh
keyword: nutritional-stress-response
keyword: escherichia-coli
keyword: infoeu-reposemanticsreport
keyword: switching-thresholds
keyword: acm-i-computing-methodologiesi6-simulation-and-modelingi61-simulation-theoryi611-syst
keyword: identification
keyword: genetic-regulatory-network
keyword: sdvbbmgtplife-sciences-q-biobiochemistry-molecular-biologygenomics-q-biogn
keyword: reports
keyword: piecewise-affine-differential-equations
keyword: quantitative-analysis
keyword: switching-thresholds-reconstruction
landing page: https://inria.hal.science/inria-00081608
description: Recent advances of experimental techniques in biology have led to the production of enormous amounts of data on the dynamics of genetic regulatory networks. In this paper, we present an approach for the identification of PieceWise-Affine (PWA) models of genetic regulatory networks from experimental data, focusing on the reconstruction of switching thresholds associated with regulatory interactions. In particular, our method takes into account geometric constraints specific to models of genetic regulatory networks. We show the feasibility of our approach by the reconstruction of switching thresholds in a PWA model of the carbon starvation response in the bacterium Escherichia coli.
identifier: Report N°: RT-0322
issued: 2026-05-11T04:16:08.906134
language: en
modified: 2026-05-11T04:16:08.906139