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Data science identifies novel drug interactions that prolong the QT interval
View ORCID ProfileTal Lorberbaum, View ORCID ProfileKevin J. Sampson, View ORCID ProfileRaymond L. Woosley, View ORCID ProfileRobert S. Kass, View ORCID ProfileNicholas P. Tatonetti
doi: https://doi.org/10.1101/024745
Tal Lorberbaum
1Department of Physiology and Cellular Biophysics, Columbia University, New York, NY
2Department of Biomedical Informatics, Columbia University, New York, NY
3Departments of Systems Biology and Medicine, Columbia University, New York, NY
Kevin J. Sampson
4Department of Pharmacology, Columbia University, New York, NY
Raymond L. Woosley
5AZCERT, Inc., Oro Valley, AZ
Robert S. Kass
4Department of Pharmacology, Columbia University, New York, NY
Nicholas P. Tatonetti
2Department of Biomedical Informatics, Columbia University, New York, NY
3Departments of Systems Biology and Medicine, Columbia University, New York, NY
6Observational Health Data Science and Informatics, New York, NY
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Posted August 16, 2015.
Data science identifies novel drug interactions that prolong the QT interval
Tal Lorberbaum, Kevin J. Sampson, Raymond L. Woosley, Robert S. Kass, Nicholas P. Tatonetti
bioRxiv 024745; doi: https://doi.org/10.1101/024745
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