Converting networks to predictive logic models from perturbation signalling data with CellNOpt
- Sprache
-
Englisch
- Identifier
-
1240764596
Beteiligte Personen und Organisationen
Gjerga, Enio
Trairatphisan, Panuwat
Gabor, Attila
Koch, Hermann
Chevalier, Celine
Ceccarelli, Franceco
Dugourd, Aurelien
Mitsos, Alexander
Saez-Rodriguez, Julio
Trairatphisan, Panuwat
Gabor, Attila
Koch, Hermann
Chevalier, Celine
Ceccarelli, Franceco
Dugourd, Aurelien
Mitsos, Alexander
Saez-Rodriguez, Julio
- DOI
-
10.18154/RWTH-2020-07443
- URN
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
26.01.2023, 13:52 MEZ
Beteiligte
- Gjerga, Enio
- Trairatphisan, Panuwat
- Gabor, Attila
- Koch, Hermann
- Chevalier, Celine
- Ceccarelli, Franceco
- Dugourd, Aurelien
- Mitsos, Alexander
- Saez-Rodriguez, Julio
Ähnliche Objekte (12)
Modelling and analysis of large-scale models of signalling networks
Microfabricated power generation devices : design and technology
Deterministic global optimization of process flowsheets in a reduced space using McCormick relaxations
Deterministic global flowsheet optimization: Between equation‐oriented and sequential‐modular methods
Global Solution of Semi-infinite Programs with Existence Constraints
Structural optimization of seawater desalination : II novel MED–MSF–TVC configurations
Structural optimization of seawater desalination : I A flexible superstructure and novel MED–MSF configurations
Man-portable power generation devices : product design and supporting algorithms
Abscheideverhalten von Aerosolen in einem Kondensator
Predictive life cycle assessment for chemical processes using machine learning
Accelerating nonlinear model predictive control through machine learning with application to automotive waste heat recovery
Relaxations of thermodynamic property and costing models in process engineering
Modelling and analysis of large-scale models of signalling networks
Microfabricated power generation devices : design and technology
Deterministic global optimization of process flowsheets in a reduced space using McCormick relaxations
Deterministic global flowsheet optimization: Between equation‐oriented and sequential‐modular methods
Global Solution of Semi-infinite Programs with Existence Constraints
Structural optimization of seawater desalination : II novel MED–MSF–TVC configurations
Structural optimization of seawater desalination : I A flexible superstructure and novel MED–MSF configurations
Man-portable power generation devices : product design and supporting algorithms
Abscheideverhalten von Aerosolen in einem Kondensator
Predictive life cycle assessment for chemical processes using machine learning
Accelerating nonlinear model predictive control through machine learning with application to automotive waste heat recovery
Relaxations of thermodynamic property and costing models in process engineering
Modelling and analysis of large-scale models of signalling networks
Microfabricated power generation devices : design and technology
Deterministic global optimization of process flowsheets in a reduced space using McCormick relaxations
Deterministic global flowsheet optimization: Between equation‐oriented and sequential‐modular methods
Global Solution of Semi-infinite Programs with Existence Constraints
Structural optimization of seawater desalination : II novel MED–MSF–TVC configurations
Structural optimization of seawater desalination : I A flexible superstructure and novel MED–MSF configurations
Man-portable power generation devices : product design and supporting algorithms
Abscheideverhalten von Aerosolen in einem Kondensator
Predictive life cycle assessment for chemical processes using machine learning
Accelerating nonlinear model predictive control through machine learning with application to automotive waste heat recovery