Journal article
Unlocking data sets by calibrating populations of models to data density: A study in atrial electrophysiology
- Abstract:
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The understanding of complex physical or biological systems nearly always requires a characterization of the variability that underpins these processes. In addition, the data used to calibrate these models may also often exhibit considerable variability. A recent approach to deal with these issues has been to calibrate populations of models (POMs), multiple copies of a single mathematical model but with different parameter values, in response to experimental data. To date, this calibration ha...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Version of record, pdf, 2.4MB)
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- Publisher copy:
- 10.1126/sciadv.1701676
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Authors
Funding
+ British Heart Foundation
More from this funder
Funding agency for:
Rodriguez, B
Grant:
H2020 #675451
+ NC3R Infrastructure for Impact Award
More from this funder
Funding agency for:
Rodriguez, B
Grant:
H2020 #675451
+ Engineering and Physical Sciences Research Council
More from this funder
Funding agency for:
Rodriguez, B
Grant:
H2020 #675451
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Bibliographic Details
- Publisher:
- American Association for the Advancement of Science Publisher's website
- Journal:
- Science Advances Journal website
- Volume:
- 4
- Issue:
- 1
- Article number:
- e1701676
- Publication date:
- 2018-01-10
- Acceptance date:
- 2017-12-08
- DOI:
- EISSN:
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2375-2548
- ISSN:
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2375-2548
- Pmid:
-
29349296
- Source identifiers:
-
821305
Item Description
- Language:
- English
- Keywords:
- Pubs id:
-
pubs:821305
- UUID:
-
uuid:f7fdd396-6f73-4e2c-951d-c0c4c88d27b5
- Local pid:
- pubs:821305
- Deposit date:
- 2018-02-27
Terms of use
- Copyright holder:
- Lawson et al
- Copyright date:
- 2018
- Notes:
- Copyright © 2018 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution License 4.0 (CC BY). This is an open-access article distributed under the terms of the Creative Commons Attribution license.
- Licence:
- CC Attribution (CC BY)
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