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Opportunities and obstacles for deep learning in biology and medicine
View ORCID ProfileTravers Ching, View ORCID ProfileDaniel S. Himmelstein, View ORCID ProfileBrett K. Beaulieu-Jones, View ORCID ProfileAlexandr A. Kalinin, View ORCID ProfileBrian T. Do, View ORCID ProfileGregory P. Way, View ORCID ProfileEnrico Ferrero, View ORCID ProfilePaul-Michael Agapow, View ORCID ProfileWei Xie, View ORCID ProfileGail L. Rosen, View ORCID ProfileBenjamin J. Lengerich, View ORCID ProfileJohnny Israeli, View ORCID ProfileJack Lanchantin, View ORCID ProfileStephen Woloszynek, View ORCID ProfileAnne E. Carpenter, View ORCID ProfileAvanti Shrikumar, View ORCID ProfileJinbo Xu, View ORCID ProfileEvan M. Cofer, View ORCID ProfileDavid J. Harris, View ORCID ProfileDave DeCaprio, View ORCID ProfileYanjun Qi, View ORCID ProfileAnshul Kundaje, View ORCID ProfileYifan Peng, View ORCID ProfileLaura K. Wiley, View ORCID ProfileMarwin H.S. Segler, View ORCID ProfileAnthony Gitter, View ORCID ProfileCasey S. Greene
doi: https://doi.org/10.1101/142760
Travers Ching
1Molecular Biosciences and Bioengineering Graduate Program, University of Hawaii at Manoa, Honolulu, HI
Daniel S. Himmelstein
2Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
Brett K. Beaulieu-Jones
3Genomics and Computational Biology Graduate Group, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
Alexandr A. Kalinin
4Department of Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, MI
Brian T. Do
5Harvard Medical School, Boston, MA
Gregory P. Way
2Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
Enrico Ferrero
6Computational Biology and Stats, Target Sciences, GlaxoSmithKline, Stevenage, United Kingdom
Paul-Michael Agapow
7Data Science Institute, Imperial College London, London, United Kingdom
Wei Xie
8Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN
Gail L. Rosen
9Ecological and Evolutionary Signal-processing and Informatics Laboratory, Department of Electrical and Computer Engineering, Drexel University, Philadelphia, PA
Benjamin J. Lengerich
10Computational Biology Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA
Johnny Israeli
11Biophysics Program, Stanford University, Stanford, CA
Jack Lanchantin
12Department of Computer Science, University of Virginia, Charlottesville, VA
Stephen Woloszynek
9Ecological and Evolutionary Signal-processing and Informatics Laboratory, Department of Electrical and Computer Engineering, Drexel University, Philadelphia, PA
Anne E. Carpenter
13Imaging Platform, Broad Institute of Harvard and MIT, Cambridge, MA
Avanti Shrikumar
14Department of Computer Science, Stanford University, Stanford, CA
Jinbo Xu
15Toyota Technological Institute at Chicago, Chicago, IL
Evan M. Cofer
16Department of Computer Science, Trinity University, San Antonio, TX
David J. Harris
17Department of Wildlife Ecology and Conservation, University of Florida, Gainesville, FL
Dave DeCaprio
18ClosedLoop.ai, Austin, TX
Yanjun Qi
12Department of Computer Science, University of Virginia, Charlottesville, VA
Anshul Kundaje
19Department of Genetics and Department of Computer Science, Stanford University, Stanford, CA
Yifan Peng
20National Center for Biotechnology Information and National Library of Medicine, National Institutes of Health, Bethesda, MD
Laura K. Wiley
21Division of Biomedical Informatics and Personalized Medicine, University of Colorado School of Medicine, Aurora, CO
Marwin H.S. Segler
22Institute of Organic Chemistry, Westfälische Wilhelms-Universität Münster, Münster, Germany
Anthony Gitter
23Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison and Morgridge Institute for Research, Madison, WI
Casey S. Greene
2Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
Article usage
Posted May 28, 2017.
Opportunities and obstacles for deep learning in biology and medicine
Travers Ching, Daniel S. Himmelstein, Brett K. Beaulieu-Jones, Alexandr A. Kalinin, Brian T. Do, Gregory P. Way, Enrico Ferrero, Paul-Michael Agapow, Wei Xie, Gail L. Rosen, Benjamin J. Lengerich, Johnny Israeli, Jack Lanchantin, Stephen Woloszynek, Anne E. Carpenter, Avanti Shrikumar, Jinbo Xu, Evan M. Cofer, David J. Harris, Dave DeCaprio, Yanjun Qi, Anshul Kundaje, Yifan Peng, Laura K. Wiley, Marwin H.S. Segler, Anthony Gitter, Casey S. Greene
bioRxiv 142760; doi: https://doi.org/10.1101/142760
Opportunities and obstacles for deep learning in biology and medicine
Travers Ching, Daniel S. Himmelstein, Brett K. Beaulieu-Jones, Alexandr A. Kalinin, Brian T. Do, Gregory P. Way, Enrico Ferrero, Paul-Michael Agapow, Wei Xie, Gail L. Rosen, Benjamin J. Lengerich, Johnny Israeli, Jack Lanchantin, Stephen Woloszynek, Anne E. Carpenter, Avanti Shrikumar, Jinbo Xu, Evan M. Cofer, David J. Harris, Dave DeCaprio, Yanjun Qi, Anshul Kundaje, Yifan Peng, Laura K. Wiley, Marwin H.S. Segler, Anthony Gitter, Casey S. Greene
bioRxiv 142760; doi: https://doi.org/10.1101/142760
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