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...
| Main Authors: | , , , |
|---|---|
| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
Royal Society of Chemistry, The
2013
|
| Online Access: | http://hdl.handle.net/1721.1/76208 https://orcid.org/0000-0002-3320-3969 https://orcid.org/0000-0002-1545-1651 |