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Jump to: Article Number of items: 2. ArticleLi, Zhihua and Wu, Wendy W. and Sheng, Jiansong and Tran, Phu N. and Wu, Min and Ranolph, Aaron and Johnstone, Ross H. and Mirams, Gary R. and Kuryshev, Yuri and Kramer, James and Wu, Caiyun and Crumb, William J. and Strauss, David G. (2018) Assessment of an in silico mechanistic model for proarrhythmia risk prediction under the CiPA initiative. Clinical Pharmacology & Therapeutics . ISSN 0009-9236 (In Press) Chang, Kelly and Dutta, Sara and Mirams, Gary R. and Beattie, Kylie and Sheng, Jiansong and Tran, Phu N. and Wu, Min and Wu, Wendy W. and Colatsky, Thomas and Strauss, David G. and Li, Zhihua (2017) Uncertainty quantification reveals the importance of data variability and experimental design considerations for in silico proarrhythmia risk assessment. Frontiers in Physiology, 8 . 917/1-917/12. ISSN 1664-042X |
From 30 July 2018 the research publications of UK based University of Nottingham authors (excluding student deposited eTheses) will be handled through the Research Information System (RIS).
To deposit an article after this date please Login to RIS and use the Outputs tab to Add New Output.
(See this blog for further information about this transition and the new repository for UK outputs.)
To deposit an article after this date please Login to RIS and use the Outputs tab to Add New Output.
(See this blog for further information about this transition and the new repository for UK outputs.)
