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SIMON, an automated machine learning system reveals immune signatures of influenza vaccine responses

View ORCID ProfileAdriana Tomic, Ivan Tomic, Yael Rosenberg-Hasson, Cornelia L. Dekker, Holden T. Maecker, Mark M. Davis
doi: https://doi.org/10.1101/545186
Adriana Tomic
1Institute of Immunity, Transplantation and Infection, Stanford University School of Medicine, Stanford, CA 94304, USA.
2Oxford Vaccine Group, Department of Pediatrics, University of Oxford, Oxford OX3 9DU, UK.
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  • For correspondence: mmdavis@stanford.edu atomic@stanford.edu
Ivan Tomic
3Independent Researcher, Electronic address: .
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  • For correspondence: info@ivantomic.com
Yael Rosenberg-Hasson
4Human Immune Monitoring Center, Stanford University, Stanford, CA 94304, USA.
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Cornelia L. Dekker
5Department of Pediatrics, Stanford University School of Medicine, Stanford, CA 94304, USA.
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Holden T. Maecker
4Human Immune Monitoring Center, Stanford University, Stanford, CA 94304, USA.
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Mark M. Davis
1Institute of Immunity, Transplantation and Infection, Stanford University School of Medicine, Stanford, CA 94304, USA.
6Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA 94304, USA.
7Howard Hughes Medical Institute, Stanford University, Stanford, CA 94304, USA.
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  • For correspondence: mmdavis@stanford.edu atomic@stanford.edu
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Posted February 10, 2019.
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SIMON, an automated machine learning system reveals immune signatures of influenza vaccine responses
Adriana Tomic, Ivan Tomic, Yael Rosenberg-Hasson, Cornelia L. Dekker, Holden T. Maecker, Mark M. Davis
bioRxiv 545186; doi: https://doi.org/10.1101/545186
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SIMON, an automated machine learning system reveals immune signatures of influenza vaccine responses
Adriana Tomic, Ivan Tomic, Yael Rosenberg-Hasson, Cornelia L. Dekker, Holden T. Maecker, Mark M. Davis
bioRxiv 545186; doi: https://doi.org/10.1101/545186

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