T. A. Quinn
Minimum Information about a Cardiac Electrophysiology Experiment (MICEE): Standardised reporting for model reproducibility, interoperability, and data sharing
Quinn, T. A.; Granite, S.; Allessie, M. A.; Antzelevitch, C.; Bollensdorff, C.; Bub, G.; Burton, R. A.B.; Cerbai, E.; Chen, P. S.; Delmar, M.; DiFrancesco, D.; Earm, Y. E.; Efimov, I. R.; Egger, M.; Entcheva, E.; Fink, M.; Fischmeister, R.; Franz, M. R.; Garny, A.; Giles, W. R.; Hannes, T.; Harding, S. E.; Hunter, P. J.; Iribe, G.; Jalife, J.; Johnson, C. R.; Kass, R. S.; Kodama, I.; Koren, G.; Lord, P.; Markhasin, V. S.; Matsuoka, S.; McCulloch, A. D.; Mirams, G. R.; Morley, G. E.; Nattel, S.; Noble, D.; Olesen, S. P.; Panfilov, A. V.; Trayanova, N. A.; Ravens, U.; Richard, S.; Rosenbaum, D. S.; Rudy, Y.; Sachs, F.; Sachse, F. B.; Saint, D. A.; Schotten, U.; Solovyova, O.; Taggart, P.; Tung, L.; Varr�, A.; Volders, P. G.; Wang, K.; Weiss, J. N.; Wettwer, E.; White, Ed; Wilders, R.; Winslow, R. L.; Kohl, P.
Authors
S. Granite
M. A. Allessie
C. Antzelevitch
C. Bollensdorff
G. Bub
R. A.B. Burton
E. Cerbai
P. S. Chen
M. Delmar
D. DiFrancesco
Y. E. Earm
I. R. Efimov
M. Egger
E. Entcheva
M. Fink
R. Fischmeister
M. R. Franz
A. Garny
W. R. Giles
T. Hannes
S. E. Harding
P. J. Hunter
G. Iribe
J. Jalife
C. R. Johnson
R. S. Kass
I. Kodama
G. Koren
P. Lord
V. S. Markhasin
S. Matsuoka
A. D. McCulloch
Prof. GARY MIRAMS GARY.MIRAMS@NOTTINGHAM.AC.UK
Professor of Mathematical Biology
G. E. Morley
S. Nattel
D. Noble
S. P. Olesen
A. V. Panfilov
N. A. Trayanova
U. Ravens
S. Richard
D. S. Rosenbaum
Y. Rudy
F. Sachs
F. B. Sachse
D. A. Saint
U. Schotten
O. Solovyova
P. Taggart
L. Tung
A. Varr�
P. G. Volders
K. Wang
J. N. Weiss
E. Wettwer
Ed White
R. Wilders
R. L. Winslow
P. Kohl
Abstract
Cardiac experimental electrophysiology is in need of a well-defined Minimum Information Standard for recording, annotating, and reporting experimental data. As a step towards establishing this, we present a draft standard, called Minimum Information about a Cardiac Electrophysiology Experiment (MICEE). The ultimate goal is to develop a useful tool for cardiac electrophysiologists which facilitates and improves dissemination of the minimum information necessary for reproduction of cardiac electrophysiology research, allowing for easier comparison and utilisation of findings by others. It is hoped that this will enhance the integration of individual results into experimental, computational, and conceptual models. In its present form, this draft is intended for assessment and development by the research community. We invite the reader to join this effort, and, if deemed productive, implement the Minimum Information about a Cardiac Electrophysiology Experiment standard in their own work. © 2011 Elsevier Ltd.
Journal Article Type | Article |
---|---|
Publication Date | Oct 1, 2011 |
Deposit Date | Jan 14, 2020 |
Journal | Progress in Biophysics and Molecular Biology |
Print ISSN | 0079-6107 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 107 |
Issue | 1 |
Pages | 4-10 |
DOI | https://doi.org/10.1016/j.pbiomolbio.2011.07.001 |
Public URL | https://nottingham-repository.worktribe.com/output/3217628 |
Publisher URL | https://www.sciencedirect.com/science/article/pii/S0079610711000642 |
You might also like
Model-driven optimal experimental design for calibrating cardiac electrophysiology models
(2023)
Journal Article
Model-driven optimal experimental design for calibrating cardiac electrophysiology models
(2023)
Journal Article
Computational Cardiac Safety Testing
(2023)
Book Chapter
Downloadable Citations
About Repository@Nottingham
Administrator e-mail: discovery-access-systems@nottingham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search