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Deep learning of representations for transcriptomics-based phenotype prediction
Aaron M. Smith, Jonathan R. Walsh, John Long, Craig B. Davis, Peter Henstock, Martin R. Hodge, Mateusz Maciejewski, Xinmeng Jasmine Mu, Stephen Ra, Shanrong Zhao, Daniel Ziemek, Charles K. Fisher
doi: https://doi.org/10.1101/574723
Aaron M. Smith
1Unlearn.AI, Inc., San Francisco, CA, USA.
Jonathan R. Walsh
1Unlearn.AI, Inc., San Francisco, CA, USA.
John Long
2Computational Sciences, Worldwide Research & Development, Pfizer Inc., Cambridge, MA, USA.
Craig B. Davis
3Oncology Global Product Development, Pfizer Inc., San Diego, CA, USA.
Peter Henstock
4Business Technology, Pfizer Inc., Cambridge MA, USA.
Martin R. Hodge
5Inflammation and Immunology, Worldwide Research & Development, Pfizer Inc., Cambridge, MA, USA.
Mateusz Maciejewski
5Inflammation and Immunology, Worldwide Research & Development, Pfizer Inc., Cambridge, MA, USA.
Xinmeng Jasmine Mu
6Oncology Research & Development, Worldwide Research & Development, Pfizer Inc, San Diego CA, USA.
Stephen Ra
2Computational Sciences, Worldwide Research & Development, Pfizer Inc., Cambridge, MA, USA.
Shanrong Zhao
2Computational Sciences, Worldwide Research & Development, Pfizer Inc., Cambridge, MA, USA.
Daniel Ziemek
7Inflammation and Immunology, Worldwide Research & Development, Pfizer Pharma GmbH, Berlin, Germany.
Charles K. Fisher
1Unlearn.AI, Inc., San Francisco, CA, USA.
Article usage
Posted March 15, 2019.
Deep learning of representations for transcriptomics-based phenotype prediction
Aaron M. Smith, Jonathan R. Walsh, John Long, Craig B. Davis, Peter Henstock, Martin R. Hodge, Mateusz Maciejewski, Xinmeng Jasmine Mu, Stephen Ra, Shanrong Zhao, Daniel Ziemek, Charles K. Fisher
bioRxiv 574723; doi: https://doi.org/10.1101/574723
Deep learning of representations for transcriptomics-based phenotype prediction
Aaron M. Smith, Jonathan R. Walsh, John Long, Craig B. Davis, Peter Henstock, Martin R. Hodge, Mateusz Maciejewski, Xinmeng Jasmine Mu, Stephen Ra, Shanrong Zhao, Daniel Ziemek, Charles K. Fisher
bioRxiv 574723; doi: https://doi.org/10.1101/574723
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