PyHillFit: code to fit dose-response Hill curve parameters in a Bayesian inference framework

Johnstone, Ross H; Bardenet, Remi; Gavaghan, David J; Mirams, Gary R

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Software . 2016

License: https://opensource.org/licenses/BSD-3-Clause

Data sources: Datacite

ZENODO

Software . 2016

License: http://opensource.org/licenses/BSD-3-Clause

Data sources: ZENODO

PyHillFit: code to fit dose-response Hill curve parameters in a Bayesian inference framework

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 25 Oct 2016Publisher:Zenodo

Authors: Johnstone, Ross H; Bardenet, Remi; Gavaghan, David J; Mirams, Gary R;

doi: 10.5281/zenodo.163113

PyHillFit: code to fit dose-response Hill curve parameters in a Bayesian inference framework

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Abstract

PyHillFit Initial release This is the initial release of PyHillFit to co-incide with a Wellcome Open Research article. The main github repository can be found at https://github.com/mirams/PyHillFit for any updates

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Keywords

dose-response, Hill curve, concentration-effect, inference, mixture model, hierarchical, pic50, bayesian, Hill coefficient, ic50

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