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Hierarchical Bayesian inference for ion channel screening dose-response data

Abstract:

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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Publisher copy:
10.12688/wellcomeopenres.9945.1

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Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author
More by this author
Institution:
University of Oxford
Oxford college:
New College
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author
Publisher:
F1000Research Publisher's website
Journal:
Wellcome Open Research Journal website
Publication date:
2016-01-01
Acceptance date:
2016-11-15
DOI:
ISSN:
2398-502X
Source identifiers:
666063
Language:
English
Keywords:
Pubs id:
pubs:666063
UUID:
uuid:6306661d-718a-42a8-906f-ee9dbadc1ac8
Local pid:
pubs:666063
Deposit date:
2017-01-26

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