Journal article
Hierarchical Bayesian inference for ion channel screening dose-response data
- Abstract:
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Dose-response (or 'concentration-effect') relationships commonly occur in biological and pharmacological systems and are well characterised by Hill curves. These curves are described by an equation with two parameters: the inhibitory concentration 50% (IC50); and the Hill coefficient. Typically just the 'best fit' parameter values are reported in the literature. Here we introduce a Python-based software tool, PyHillFit , and describe the underlying Bayesian inference methods that it uses, to ...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Version of record, pdf, 5.1MB)
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- Publisher copy:
- 10.12688/wellcomeopenres.9945.1
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Authors
Funding
+ Engineering and Physical Sciences Research Council
More from this funder
Grant:
EP/G037280/1, EP/I017909/1
Bibliographic Details
- Publisher:
- F1000Research Publisher's website
- Journal:
- Wellcome Open Research Journal website
- Publication date:
- 2016-01-01
- Acceptance date:
- 2016-11-15
- DOI:
- ISSN:
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2398-502X
- Source identifiers:
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666063
Item Description
- Language:
- English
- Keywords:
- Pubs id:
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pubs:666063
- UUID:
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uuid:6306661d-718a-42a8-906f-ee9dbadc1ac8
- Local pid:
- pubs:666063
- Deposit date:
- 2017-01-26
Terms of use
- Copyright holder:
- Johnstone RH et al
- Copyright date:
- 2016
- Notes:
- Copyright © 2016 Johnstone RH et al. This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
- Licence:
- CC Attribution (CC BY)
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