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Deep learning of the regulatory grammar of yeast 5’ untranslated regions from 500,000 random sequences
View ORCID ProfileJosh Cuperus, Benjamin Groves, Anna Kuchina, Alexander B. Rosenberg, Nebojsa Jojic, Stanley Fields, Georg Seelig
doi: https://doi.org/10.1101/137547
Josh Cuperus
1Department of Genome Sciences, University of Washington
6Howard Hughes Medical Institute, University of Washington
Benjamin Groves
2Department of Electrical Engineering, University of Washington
Anna Kuchina
2Department of Electrical Engineering, University of Washington
Alexander B. Rosenberg
2Department of Electrical Engineering, University of Washington
Nebojsa Jojic
3Microsoft Research
Stanley Fields
1Department of Genome Sciences, University of Washington
5Department of Medicine, University of Washington
6Howard Hughes Medical Institute, University of Washington
Georg Seelig
2Department of Electrical Engineering, University of Washington
4Department of Computer Science & Engineering, University of Washington
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Posted May 19, 2017.
Deep learning of the regulatory grammar of yeast 5’ untranslated regions from 500,000 random sequences
Josh Cuperus, Benjamin Groves, Anna Kuchina, Alexander B. Rosenberg, Nebojsa Jojic, Stanley Fields, Georg Seelig
bioRxiv 137547; doi: https://doi.org/10.1101/137547
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