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COSSMO: Predicting Competitive Alternative Splice Site Selection using Deep Learning

Hannes Bretschneider, Shreshth Gandhi, Amit G Deshwar, Khalid Zuberi, Brendan J Frey
doi: https://doi.org/10.1101/255257
Hannes Bretschneider
1Deep Genomics Inc., Toronto, ON
2Department of Computer Science, University of Toronto
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Shreshth Gandhi
1Deep Genomics Inc., Toronto, ON
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Amit G Deshwar
1Deep Genomics Inc., Toronto, ON
3Edward S. Rogers Sr. Department of Electrical & Computer Engineering, University of Toronto
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Khalid Zuberi
1Deep Genomics Inc., Toronto, ON
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Brendan J Frey
1Deep Genomics Inc., Toronto, ON
2Department of Computer Science, University of Toronto
3Edward S. Rogers Sr. Department of Electrical & Computer Engineering, University of Toronto
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Article Information

doi 
https://doi.org/10.1101/255257
History 
  • January 29, 2018.

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  • You are currently viewing Version 1 of this article (January 29, 2018 - 12:16).
  • View Version 2, the most recent version of this article.
Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.

Author Information

  1. Hannes Bretschneider1,2,
  2. Shreshth Gandhi1,
  3. Amit G Deshwar1,3,
  4. Khalid Zuberi1 and
  5. Brendan J Frey1,2,3
  1. 1Deep Genomics Inc., Toronto, ON
  2. 2Department of Computer Science, University of Toronto
  3. 3Edward S. Rogers Sr. Department of Electrical & Computer Engineering, University of Toronto
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Posted January 29, 2018.
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COSSMO: Predicting Competitive Alternative Splice Site Selection using Deep Learning
Hannes Bretschneider, Shreshth Gandhi, Amit G Deshwar, Khalid Zuberi, Brendan J Frey
bioRxiv 255257; doi: https://doi.org/10.1101/255257
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COSSMO: Predicting Competitive Alternative Splice Site Selection using Deep Learning
Hannes Bretschneider, Shreshth Gandhi, Amit G Deshwar, Khalid Zuberi, Brendan J Frey
bioRxiv 255257; doi: https://doi.org/10.1101/255257

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