Uncertainty Quantification Reveals the Importance of Data Variability and Experimental Design Considerations for in Silico Proarrhythmia Risk Assessment-Reference-Cited by-同舟云学术

Uncertainty Quantification Reveals the Importance of Data Variability and Experimental Design Considerations for in Silico Proarrhythmia Risk Assessment

Published:2017-11-21 Issue: Volume:8 Page:
ISSN:1664-042X
Container-title:Frontiers in Physiology
language:
Short-container-title:Front. Physiol.

Author:

Chang Kelly C.,Dutta Sara,Mirams Gary R.,Beattie Kylie A.,Sheng Jiansong,Tran Phu N.,Wu Min,Wu Wendy W.,Colatsky Thomas,Strauss David G.,Li Zhihua

Funder

Oak Ridge Institute for Science and Education

Wellcome Trust

Royal Society

Publisher

Frontiers Media SA

Subject

Physiology (medical),Physiology

Reference38 articles.

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3. Mexiletine antagonizes effects of sotalol on QT interval duration and its proarrhythmic effects in a canine model of Torsade de Pointes;Chézalviel-Guilbert;J. Am. Coll. Cardiol.,1995

4. The comprehensive in vitro proarrhythmia assay (CiPA) initiative - update on progress;Colatsky;J. Pharmacol. Toxicol. Methods,2016

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