La thèse s'intéresse à l'application et l'extension des méthodes SAT et SMT pour la biologie des systèmes. Plus particulièrement sont visées les problématiques issues de l'étude des réseaux métaboliques. L'état de l'art dans l'étude des réseaux métaboliques utilise de la programmation linéaire qui est extrêmement efficace pour lister toutes les solutions. Afin de pouvoir concurrencer la programmation linéaire nous nous orientons non pas vers l'énumération de toutes les voies mais vers l'énumération de voies satisfaisant des contraintes spécifiées par l'utilisateur. L'utilisation de SMT et les contraintes supplémentaires nous permettent d'utiliser des optimisations inaccessibles à la programmation linéaire.The thesis focuses on the applicat...
International audienceMetabolic networks play a crucial role in biology since they capture all chemi...
Stoichiometric and constraint-based analyses of metabolic pathways have been gaining ground in the r...
Motivation: Perhaps the greatest challenge of modern biology is to develop accurate in silico models...
The thesis deals with the application and extension of SAT and SMT methods for systems biology. Focu...
The thesis deals with the application and extension of SAT and SMT methods for systems biology. Focu...
The thesis deals with the application and extension of SAT and SMT methods for systems biology. Focu...
The thesis deals with the application and extension of SAT and SMT methods for systems biology. Focu...
The thesis deals with the application and extension of SAT and SMT methods for systems biology. Focu...
peer reviewedThe application of mathematical programming methodologies to biochemical systems is dem...
Analysis of metabolic networks using linear optimization theory allows one to quantify and understan...
The application of mathematical programming methodologies to biochemical systems is demonstrated wit...
© 2018, Springer Science+Business Media, LLC, part of Springer Nature. Flux balance analysis has pro...
International audienceMetabolic networks play a crucial role in biology since they capture all chemi...
International audienceMetabolic networks play a crucial role in biology since they capture all chemi...
Constraint-based analysis has become a widely used method to study metabolic networks. While some of...
International audienceMetabolic networks play a crucial role in biology since they capture all chemi...
Stoichiometric and constraint-based analyses of metabolic pathways have been gaining ground in the r...
Motivation: Perhaps the greatest challenge of modern biology is to develop accurate in silico models...
The thesis deals with the application and extension of SAT and SMT methods for systems biology. Focu...
The thesis deals with the application and extension of SAT and SMT methods for systems biology. Focu...
The thesis deals with the application and extension of SAT and SMT methods for systems biology. Focu...
The thesis deals with the application and extension of SAT and SMT methods for systems biology. Focu...
The thesis deals with the application and extension of SAT and SMT methods for systems biology. Focu...
peer reviewedThe application of mathematical programming methodologies to biochemical systems is dem...
Analysis of metabolic networks using linear optimization theory allows one to quantify and understan...
The application of mathematical programming methodologies to biochemical systems is demonstrated wit...
© 2018, Springer Science+Business Media, LLC, part of Springer Nature. Flux balance analysis has pro...
International audienceMetabolic networks play a crucial role in biology since they capture all chemi...
International audienceMetabolic networks play a crucial role in biology since they capture all chemi...
Constraint-based analysis has become a widely used method to study metabolic networks. While some of...
International audienceMetabolic networks play a crucial role in biology since they capture all chemi...
Stoichiometric and constraint-based analyses of metabolic pathways have been gaining ground in the r...
Motivation: Perhaps the greatest challenge of modern biology is to develop accurate in silico models...