Performance assessment of the anticipatory approach to optimal experimental design for model discrimination
- Author
- Brecht Donckels (UGent) , Dirk De Pauw (UGent) , Peter A Vanrolleghem and Bernard De Baets (UGent)
- Organization
- Keywords
- Mathematical models, Dynamic modeling, Model discrimination, Optimal experimental design, Rival models, Anticipatory design, Systems biology, Synthetic biology, SEQUENTIAL EXPERIMENTAL-DESIGN, COMPUTATIONAL SYSTEMS BIOLOGY, IN-SILICO BIOLOGY, PARAMETER-ESTIMATION, CRITERION
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-2135791
- MLA
- Donckels, Brecht, Dirk De Pauw, Peter A Vanrolleghem, et al. “Performance Assessment of the Anticipatory Approach to Optimal Experimental Design for Model Discrimination.” CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 110.1 (2012): 20–31. Print.
- APA
- Donckels, B., De Pauw, D., Vanrolleghem, P. A., & De Baets, B. (2012). Performance assessment of the anticipatory approach to optimal experimental design for model discrimination. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 110(1), 20–31.
- Chicago author-date
- Donckels, Brecht, Dirk De Pauw, Peter A Vanrolleghem, and Bernard De Baets. 2012. “Performance Assessment of the Anticipatory Approach to Optimal Experimental Design for Model Discrimination.” Chemometrics and Intelligent Laboratory Systems 110 (1): 20–31.
- Chicago author-date (all authors)
- Donckels, Brecht, Dirk De Pauw, Peter A Vanrolleghem, and Bernard De Baets. 2012. “Performance Assessment of the Anticipatory Approach to Optimal Experimental Design for Model Discrimination.” Chemometrics and Intelligent Laboratory Systems 110 (1): 20–31.
- Vancouver
- 1.Donckels B, De Pauw D, Vanrolleghem PA, De Baets B. Performance assessment of the anticipatory approach to optimal experimental design for model discrimination. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS. 2012;110(1):20–31.
- IEEE
- [1]B. Donckels, D. De Pauw, P. A. Vanrolleghem, and B. De Baets, “Performance assessment of the anticipatory approach to optimal experimental design for model discrimination,” CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, vol. 110, no. 1, pp. 20–31, 2012.
@article{2135791,
author = {Donckels, Brecht and De Pauw, Dirk and Vanrolleghem, Peter A and De Baets, Bernard},
issn = {0169-7439},
journal = {CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS},
keywords = {Mathematical models,Dynamic modeling,Model discrimination,Optimal experimental design,Rival models,Anticipatory design,Systems biology,Synthetic biology,SEQUENTIAL EXPERIMENTAL-DESIGN,COMPUTATIONAL SYSTEMS BIOLOGY,IN-SILICO BIOLOGY,PARAMETER-ESTIMATION,CRITERION},
language = {eng},
number = {1},
pages = {20--31},
title = {Performance assessment of the anticipatory approach to optimal experimental design for model discrimination},
url = {http://dx.doi.org/10.1016/j.chemolab.2011.06.008},
volume = {110},
year = {2012},
}
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