Parameter inference to motivate asymptotic model reduction: an analysis of the gibberellin biosynthesis pathway

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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...

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Bibliographic Details
Main Authors:	Band, Leah R., Preston, Simon P.
Format:	Article
Published:	Elsevier 2018
Subjects:	asymptotic analysis profile likelihood plant hormones hormone biosynthesis
Online Access:	https://eprints.nottingham.ac.uk/52588/

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