Variance Based Sensitivity Analysis of IKrIKr in a Model of the Human Atrial Action Potential Using Gaussian Process Emulators

Chang, E.T.Y., Coveney, S. and Clayton, R.H. orcid.org/0000-0002-8438-7518 (2017) Variance Based Sensitivity Analysis of IKrIKr in a Model of the Human Atrial Action Potential Using Gaussian Process Emulators. In: Pop, M. and Wright, G., (eds.) Functional Imaging and Modelling of the Heart 2017, Proceedings. 9th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2017 , June 11-13, 2017, Toronto, ON, Canada. Lecture Notes in Computer Science, 10263 (10263). Springer, Cham , pp. 249-259. ISBN 9783319594477

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Copyright, Publisher and Additional Information: © Springer International Publishing AG 2017. This is an author produced version of a paper subsequently published in LNCS. Uploaded in accordance with the publisher's self-archiving policy.
Dates:
  • Published: 23 May 2017
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Funding Information:
FunderGrant number
ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL (EPSRC)EP/K037145/1
Depositing User: Symplectic Sheffield
Date Deposited: 25 Jul 2017 15:22
Last Modified: 27 Nov 2017 14:20
Published Version: https://doi.org/10.1007/978-3-319-59448-4_24
Status: Published
Publisher: Springer, Cham
Series Name: Lecture Notes in Computer Science
Refereed: Yes
Identification Number: https://doi.org/10.1007/978-3-319-59448-4_24

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