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...

Descripción completa

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

Internet

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

Ejemplares similares