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Claim

GAlibrate: Model calibration using Genetic Algorithm optimization in Python

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 25 Jul 2019 English Publisher:Zenodo
Authors: Wilson, Blake;
Code repository: https://github.com/blakeaw/GAlibrate/tree/v0.7.0

doi: 10.5281/zenodo.3345232 , 10.5281/zenodo.12802993 , 10.5281/zenodo.12803349 , 10.5281/zenodo.3351003 , 10.5281/zenodo.3903010 , 10.5281/zenodo.3902494 , 10.5281/zenodo.13333784

GAlibrate: Model calibration using Genetic Algorithm optimization in Python

Abstract

What's Changed Fix for issue 14 by @blakeaw in https://github.com/blakeaw/GAlibrate/pull/15 Full Changelog: https://github.com/blakeaw/GAlibrate/compare/v0.7.1...v0.7.2

If this software is useful for your work, I'd appreciate if you cited it as below.

Related Organizations
Keywords

model calibration, biological modeling, genetic algorithm, systems biology, parameter estimation, optimization, python 3

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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