Comprehensive Analyses of Ventricular Myocyte Models Identify Targets Exhibiting Favorable Rate Dependence
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DOI: 10.1371/journal.pcbi.1003543
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- John Walmsley & Jose F Rodriguez & Gary R Mirams & Kevin Burrage & Igor R Efimov & Blanca Rodriguez, 2013. "mRNA Expression Levels in Failing Human Hearts Predict Cellular Electrophysiological Remodeling: A Population-Based Simulation Study," PLOS ONE, Public Library of Science, vol. 8(2), pages 1-11, February.
- Amrita X Sarkar & Eric A Sobie, 2010. "Regression Analysis for Constraining Free Parameters in Electrophysiological Models of Cardiac Cells," PLOS Computational Biology, Public Library of Science, vol. 6(9), pages 1-11, September.
- Thomas O'Hara & László Virág & András Varró & Yoram Rudy, 2011. "Simulation of the Undiseased Human Cardiac Ventricular Action Potential: Model Formulation and Experimental Validation," PLOS Computational Biology, Public Library of Science, vol. 7(5), pages 1-29, May.
- Jordi Heijman & Antonio Zaza & Daniel M Johnson & Yoram Rudy & Ralf L M Peeters & Paul G A Volders & Ronald L Westra, 2013. "Determinants of Beat-to-Beat Variability of Repolarization Duration in the Canine Ventricular Myocyte: A Computational Analysis," PLOS Computational Biology, Public Library of Science, vol. 9(8), pages 1-14, August.
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