Performance assessment of the anticipatory approach to optimal experimental design for model discrimination
(2012) CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS. 110(1). p.20-31
Please use this url to cite or link to this publication:
http://hdl.handle.net/1854/LU-2135791
- author
- Brecht Donckels UGent, Dirk De Pauw UGent, Peter A Vanrolleghem and Bernard De Baets UGent
- organization
- year
- 2012
- type
- journalArticle (original)
- publication status
- published
- subject
- keyword
- 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
- journal title
- CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- Chemometrics Intell. Lab. Syst.
- volume
- 110
- issue
- 1
- pages
- 20 - 31
- Web of Science type
- Article
- Web of Science id
- 000299712500002
- JCR category
- STATISTICS & PROBABILITY
- JCR impact factor
- 2.291 (2012)
- JCR rank
- 8/117 (2012)
- JCR quartile
- 1 (2012)
- ISSN
- 0169-7439
- DOI
- 10.1016/j.chemolab.2011.06.008
- language
- English
- UGent publication?
- yes
- classification
- A1
- copyright statement
- I have transferred the copyright for this publication to the publisher
- id
- 2135791
- handle
- http://hdl.handle.net/1854/LU-2135791
- date created
- 2012-06-07 11:21:32
- date last changed
- 2016-12-19 15:39:04
@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},
keyword = {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},
}
- Chicago
- 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.
- 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.
- 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.
- 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.