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Predicting Transcriptional Regulatory Activities with Deep Convolutional Networks

Joe Paggi, Andrew Lamb, Kevin Tian, Irving Hsu, Pierre-Louis Cedoz, Prasad Kawthekar
doi: https://doi.org/10.1101/099879
Joe Paggi
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  • For correspondence: jpaggi@stanford.edu
Andrew Lamb
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  • For correspondence: andrew.lamb@stanford.edu
Kevin Tian
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  • For correspondence: kjtian@stanford.edu
Irving Hsu
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  • For correspondence: irvhsu@stanford.edu
Pierre-Louis Cedoz
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  • For correspondence: plcedoz@stanford.edu
Prasad Kawthekar
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  • For correspondence: pkawthek@stanford.edu
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Article Information

doi 
https://doi.org/10.1101/099879
History 
  • January 12, 2017.
Copyright 
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 4.0 International license.

Author Information

  1. Joe Paggi (jpaggi{at}stanford.edu),
  2. Andrew Lamb (andrew.lamb{at}stanford.edu),
  3. Kevin Tian (kjtian{at}stanford.edu),
  4. Irving Hsu (irvhsu{at}stanford.edu),
  5. Pierre-Louis Cedoz (plcedoz{at}stanford.edu) and
  6. Prasad Kawthekar (pkawthek{at}stanford.edu)
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Posted January 12, 2017.
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Predicting Transcriptional Regulatory Activities with Deep Convolutional Networks
Joe Paggi, Andrew Lamb, Kevin Tian, Irving Hsu, Pierre-Louis Cedoz, Prasad Kawthekar
bioRxiv 099879; doi: https://doi.org/10.1101/099879
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Predicting Transcriptional Regulatory Activities with Deep Convolutional Networks
Joe Paggi, Andrew Lamb, Kevin Tian, Irving Hsu, Pierre-Louis Cedoz, Prasad Kawthekar
bioRxiv 099879; doi: https://doi.org/10.1101/099879

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