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Machine learning guided association of adverse drug reactions with in vitro target-based pharmacology
Robert Ietswaart, Seda Arat, Amanda X. Chen, Saman Farahmand, Bumjun Kim, William DuMouchel, Duncan Armstrong, Alexander Fekete, Jeffrey J. Sutherland, Laszlo Urban
doi: https://doi.org/10.1101/750950
Robert Ietswaart
1Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA 02115
Seda Arat
2The Jackson Laboratory, Farmington, CT 06032
3Pfizer Drug Safety Research and Development, Groton, CT 06340
Amanda X. Chen
4David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02142
5Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139
Saman Farahmand
6Department of Biology, University of Massachusetts Boston, Boston, MA 02125
Bumjun Kim
7Department of Chemical Engineering, Northeastern University, Boston, MA 02115
William DuMouchel
8Oracle Health Sciences, Burlington, MA 01803
Duncan Armstrong
9Novartis Institutes for Biomedical Research, Cambridge, MA 02139
Alexander Fekete
9Novartis Institutes for Biomedical Research, Cambridge, MA 02139
Jeffrey J. Sutherland
9Novartis Institutes for Biomedical Research, Cambridge, MA 02139
Laszlo Urban
9Novartis Institutes for Biomedical Research, Cambridge, MA 02139
Article usage
Posted March 12, 2020.
Machine learning guided association of adverse drug reactions with in vitro target-based pharmacology
Robert Ietswaart, Seda Arat, Amanda X. Chen, Saman Farahmand, Bumjun Kim, William DuMouchel, Duncan Armstrong, Alexander Fekete, Jeffrey J. Sutherland, Laszlo Urban
bioRxiv 750950; doi: https://doi.org/10.1101/750950
Machine learning guided association of adverse drug reactions with in vitro target-based pharmacology
Robert Ietswaart, Seda Arat, Amanda X. Chen, Saman Farahmand, Bumjun Kim, William DuMouchel, Duncan Armstrong, Alexander Fekete, Jeffrey J. Sutherland, Laszlo Urban
bioRxiv 750950; doi: https://doi.org/10.1101/750950
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