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Self-Supervised Deep Learning Encodes High-Resolution Features of Protein Subcellular Localization

Hirofumi Kobayashi, Keith C. Cheveralls, Manuel D. Leonetti, Loic A. Royer
doi: https://doi.org/10.1101/2021.03.29.437595

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doi 
https://doi.org/10.1101/2021.03.29.437595
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  • July 3, 2021.

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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-NC-ND 4.0 International license.

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  1. Hirofumi Kobayashi1,*,
  2. Keith C. Cheveralls1,
  3. Manuel D. Leonetti1,* and
  4. Loic A. Royer1,*
  1. 1CZ Biohub, San Francisco, USA
  1. ↵*Correspondence: hirofumi.kobayashi{at}czbiohub.org, manuel.leonetti{at}czbiohub.org, loic.royer{at}czbiohub.org
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Posted July 03, 2021.
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Self-Supervised Deep Learning Encodes High-Resolution Features of Protein Subcellular Localization
Hirofumi Kobayashi, Keith C. Cheveralls, Manuel D. Leonetti, Loic A. Royer
bioRxiv 2021.03.29.437595; doi: https://doi.org/10.1101/2021.03.29.437595
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