ePrints

Cell to Whole Organ Global Sensitivity Analysis on a Four-chamber Electromechanics Model Using Gaussian Processes Emulators

Lookup NU author(s): Professor Chris Oates

Downloads

• Published version [.pdf]

Licence

This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).

Publication metadata

Author(s): Strocchi M, Longobardi S, Augustin CM, Gsell MAF, Petras A, Rinaldi CA, Vigmond EJ, Plank G, Oates CJ, Wilkinson RD, Niederer SA

Publication type: Article

Publication status: Published

Journal: PLoS Computational Biology

Year: 2023

Volume: 19

Issue: 6

Online publication date: 26/06/2023

Acceptance date: 09/06/2023

Date deposited: 29/11/2023

ISSN (print): 1553-734X

ISSN (electronic): 1553-7358

Publisher: Public Library of Science

URL: https://doi.org/10.1371/journal.pcbi.1011257

DOI: 10.1371/journal.pcbi.1011257

Data Access Statement: The code to train the Gaussian processes emulators, perform the global sensitivity analysis and history matching can be found at this github link (https://github.com/ MarinaStrocchi/Strocchi_etal_2023_GSA). The datasets used to train all GPEs for the global sensitivity analysis on the four-chamber heart model, the ToR-ORd and the ToR-ORd-Land models, the Courtemanche and the Courtemanche Land models, the tissue electrophysiology, the passive mechanics and the CircAdapt ODE model are available at the following Zenodo repository: “Cell to whole organ global sensitivity analysis on a four-chamber heart electromechanics model”(DOI https://doi.org/10.5281/zenodo.7405335).

Altmetrics

Funding

Share