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

View ORCID ProfileHirofumi Kobayashi, View ORCID ProfileKeith C. Cheveralls, View ORCID ProfileManuel D. Leonetti, View ORCID ProfileLoic A. Royer
doi: https://doi.org/10.1101/2021.03.29.437595
Hirofumi Kobayashi
1CZ Biohub, San Francisco, USA
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  • For correspondence: hirofumi.kobayashi@czbiohub.org manuel.leonetti@czbiohub.org loic.royer@czbiohub.org
Keith C. Cheveralls
1CZ Biohub, San Francisco, USA
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Manuel D. Leonetti
1CZ Biohub, San Francisco, USA
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  • For correspondence: hirofumi.kobayashi@czbiohub.org manuel.leonetti@czbiohub.org loic.royer@czbiohub.org
Loic A. Royer
1CZ Biohub, San Francisco, USA
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  • For correspondence: hirofumi.kobayashi@czbiohub.org manuel.leonetti@czbiohub.org loic.royer@czbiohub.org
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Posted March 29, 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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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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