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Interpreting Neural Networks for Biological Sequences by Learning Stochastic Masks

Johannes Linder, Alyssa La Fleur, Zibo Chen, Ajasja Ljubetič, David Baker, Sreeram Kannan, Georg Seelig
doi: https://doi.org/10.1101/2021.04.29.441979
Johannes Linder
bPaul G. Allen School of Computer Science and Engineering, University of Washington
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  • For correspondence: jlinder2@cs.washington.edu
Alyssa La Fleur
bPaul G. Allen School of Computer Science and Engineering, University of Washington
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Zibo Chen
cInstitute for Protein Design, University of Washington
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Ajasja Ljubetič
cInstitute for Protein Design, University of Washington
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David Baker
cInstitute for Protein Design, University of Washington
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Sreeram Kannan
dDepartment of Electrical and Computer Engineering, University of Washington
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Georg Seelig
bPaul G. Allen School of Computer Science and Engineering, University of Washington
dDepartment of Electrical and Computer Engineering, University of Washington
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Posted April 29, 2021.
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Interpreting Neural Networks for Biological Sequences by Learning Stochastic Masks
Johannes Linder, Alyssa La Fleur, Zibo Chen, Ajasja Ljubetič, David Baker, Sreeram Kannan, Georg Seelig
bioRxiv 2021.04.29.441979; doi: https://doi.org/10.1101/2021.04.29.441979
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Interpreting Neural Networks for Biological Sequences by Learning Stochastic Masks
Johannes Linder, Alyssa La Fleur, Zibo Chen, Ajasja Ljubetič, David Baker, Sreeram Kannan, Georg Seelig
bioRxiv 2021.04.29.441979; doi: https://doi.org/10.1101/2021.04.29.441979

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