Sloppy Models, Parameter Uncertainty, and the Role of Experimental Design

Sloppy Models, Parameter Uncertainty, and the Role of Experimental Design

Computational models are increasingly used to understand and predict complex biological phenomena. These models contain many unknown parameters, at least some of which are difficult to measure directly, and instead are estimated by fitting to time-course data. Previous work has suggested that even w...

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Bibliographic Details
Main Authors: Apgar, Joshua F. (Contributor), Witmer, David K. (Contributor), White, Forest M. (Contributor), Tidor, Bruce (Contributor)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Biological Engineering (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor), Koch Institute for Integrative Cancer Research at MIT (Contributor)
Format: Article
Language:English
Published: Royal Society of Chemistry, The, 2013-01-08T18:43:04Z.
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