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Robust Neural Networks are More Interpretable for Genomics

Peter K. Koo, Sharon Qian, Gal Kaplun, Verena Volf, Dimitris Kalimeris
doi: https://doi.org/10.1101/657437
Peter K. Koo
1Howard Hughes Medical Institute, Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA, USA
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  • For correspondence: peter_koo@harvard.edu
Sharon Qian
2Department of Computer Science, Harvard University, Cambridge, MA, USA
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Gal Kaplun
2Department of Computer Science, Harvard University, Cambridge, MA, USA
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Verena Volf
3Department of Genetics, Harvard Medical School, Boston, MA, USA
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Dimitris Kalimeris
2Department of Computer Science, Harvard University, Cambridge, MA, USA
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Posted June 03, 2019.
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Robust Neural Networks are More Interpretable for Genomics
Peter K. Koo, Sharon Qian, Gal Kaplun, Verena Volf, Dimitris Kalimeris
bioRxiv 657437; doi: https://doi.org/10.1101/657437
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Robust Neural Networks are More Interpretable for Genomics
Peter K. Koo, Sharon Qian, Gal Kaplun, Verena Volf, Dimitris Kalimeris
bioRxiv 657437; doi: https://doi.org/10.1101/657437

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