Journal article
Numerical algebraic geometry for model selection and its application to the life sciences
- Abstract:
-
Researchers working with mathematical models are often confronted by the related problems of parameter estimation, model validation and model selection. These are all optimization problems, well known to be challenging due to nonlinearity, non-convexity and multiple local optima. Furthermore, the challenges are compounded when only partial data are available. Here, we consider polynomial models (e.g. mass-action chemical reaction networks at steady state) and describe a framework for their an...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Authors
Funding
+ MPH Stumpf Leverhulme Trust Grant
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Funding agency for:
Harrington, H
Grant:
KUK-C1-013-0
+ King Abdullah University of Science and Technology
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Funding agency for:
Harrington, H
Grant:
KUK-C1-013-0
+ MS Simons Travel Grant,
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Funding agency for:
Harrington, H
Grant:
KUK-C1-013-0
+ Engineering and Physical Sciences Research Council
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Funding agency for:
Harrington, H
Grant:
KUK-C1-013-0
American Institute of Mathematics
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Bibliographic Details
- Publisher:
- Royal Society Publisher's website
- Journal:
- Interface Journal website
- Volume:
- 13
- Issue:
- 123
- Publication date:
- 2016-10-12
- Acceptance date:
- 2016-09-19
- DOI:
- EISSN:
-
1742-5662
- ISSN:
-
1742-5689
Item Description
- Keywords:
- Pubs id:
-
pubs:653381
- UUID:
-
uuid:6da12de3-b2e9-49de-9bce-60247d89d1a3
- Local pid:
- pubs:653381
- Source identifiers:
-
653381
- Deposit date:
- 2016-10-21
Terms of use
- Copyright holder:
- Gross et al
- Copyright date:
- 2016
- Notes:
- © 2016 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License.
- Licence:
- CC Attribution (CC BY)
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