Sam Jackson samuel.e.jackson@durham.ac.uk
Assistant Professor
Bayesian uncertainty analysis establishes the link between the parameter space of a complex model of hormonal crosstalk in Arabidopsis root development and experimental measurements [preprint]
Jackson, Samuel E.; Vernon, Ian; Liu, Junli; Lindsey, Keith
Authors
Professor Ian Vernon i.r.vernon@durham.ac.uk
Professor
Junli Liu
Keith Lindsey
Citation
Jackson, S. E., Vernon, I., Liu, J., & Lindsey, K. Bayesian uncertainty analysis establishes the link between the parameter space of a complex model of hormonal crosstalk in Arabidopsis root development and experimental measurements [preprint]. Manuscript submitted for publication
Journal Article Type | Article |
---|---|
Deposit Date | Jan 11, 2018 |
Peer Reviewed | Not Peer Reviewed |
Public URL | https://durham-repository.worktribe.com/output/1368680 |
Related Public URLs | https://arxiv.org/abs/1801.01538v1 http://arxiv.org/abs/1801.01538 |
Additional Information | Linked Published Article: https://durham-repository.worktribe.com/output/1258961 https://doi.org/10.1515/sagmb-2018-0053 |
You might also like
A summer with genes: Simple disease classification from microarray data
(2015)
Journal Article
Hotspots in Hindsight
(2015)
Book Chapter
Downloadable Citations
About Durham Research Online (DRO)
Administrator e-mail: dro.admin@durham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search