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Self-supervised deep learning encodes high-resolution features of protein subcellular localization

Explaining the diversity and complexity of protein localization is essential to fully understand cellular architecture. Here we present cytoself, a deep-learning approach for fully self-supervised protein localization profiling and clustering. Cytoself leverages a self-supervised training scheme tha...

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Detalles Bibliográficos
Autores principales:	Kobayashi, Hirofumi, Cheveralls, Keith C., Leonetti, Manuel D., Royer, Loic A.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group US 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9349041/ https://www.ncbi.nlm.nih.gov/pubmed/35879608 http://dx.doi.org/10.1038/s41592-022-01541-z

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