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Skyhawk: An Artificial Neural Network-based discriminator for reviewing clinically significant genomic variants

View ORCID ProfileRuibang Luo, View ORCID ProfileTak-Wah Lam, View ORCID ProfileMichael C. Schatz
doi: https://doi.org/10.1101/311985
Ruibang Luo
1Department of Computer Science, The University of Hong Kong, Hong Kong
2Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA
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Tak-Wah Lam
1Department of Computer Science, The University of Hong Kong, Hong Kong
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Michael C. Schatz
2Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA
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Article Information

doi 
https://doi.org/10.1101/311985
History 
  • May 1, 2018.

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  • You are currently viewing Version 1 of this article (May 1, 2018 - 03:20).
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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.

Author Information

  1. Ruibang Luo1,2,*,
  2. Tak-Wah Lam1 and
  3. Michael C. Schatz2
  1. 1Department of Computer Science, The University of Hong Kong, Hong Kong
  2. 2Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA
  1. ↵*To whom correspondence should be addressed.
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Posted May 01, 2018.
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Skyhawk: An Artificial Neural Network-based discriminator for reviewing clinically significant genomic variants
Ruibang Luo, Tak-Wah Lam, Michael C. Schatz
bioRxiv 311985; doi: https://doi.org/10.1101/311985
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Skyhawk: An Artificial Neural Network-based discriminator for reviewing clinically significant genomic variants
Ruibang Luo, Tak-Wah Lam, Michael C. Schatz
bioRxiv 311985; doi: https://doi.org/10.1101/311985

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