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Accurate parameter optimization leads to predictive dynamical models for systems biology

Thomas Bourquard 1 Mohammed Akli Ayoub 1 Domitille Heitzler 1 Nikolaus Hansen 2 Jérôme Azé 3 Romain Yvinec 1 Pascale Crépieux 1 Eric Reiter 1 Anne Poupon 1 
1 PRC - Physiologie de la reproduction et des comportements [Nouzilly]
2 LRI - Laboratoire de Recherche en Informatique
3 ADVANSE - ADVanced Analytics for data SciencE
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
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https://hal.inrae.fr/hal-02793656
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Submitted on : Friday, June 5, 2020 - 10:00:05 AM
Last modification on : Friday, August 5, 2022 - 3:02:49 PM

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  • HAL Id : hal-02793656, version 1
  • PRODINRA : 368455

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UNIV-TOURS | CNRS | INRA | UMR8623 | ADVANSE | LIRMM | CENTRALESUPELEC | UNIV-PARIS-SACLAY | MIPS | UNIV-MONTPELLIER | INRAE | GS-COMPUTER-SCIENCE | PHASE

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Thomas Bourquard, Mohammed Akli Ayoub, Domitille Heitzler, Nikolaus Hansen, Jérôme Azé, et al.. Accurate parameter optimization leads to predictive dynamical models for systems biology. 23. Journée du projet CASCIMODOT, Université d'Orléans (UO). FRA. Université François Rabelais (Tours)., Dec 2015, Tours, France. ⟨hal-02793656⟩

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