Parameter inference to motivate asymptotic model reduction: an analysis of the gibberellin biosynthesis pathway
Developing effective strategies to use models in conjunction with experimental data is essential to understand the dynamics of biological regulatory networks. In this study, we demonstrate how combining parameter estimation with asymptotic analysis can reveal the key features of a network and lead t...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Published: |
Elsevier
2018
|
| Subjects: | |
| Online Access: | https://eprints.nottingham.ac.uk/52588/ |