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Convolutional networks for supervised mining of molecular patterns within cellular context

Cryo-electron tomograms capture a wealth of structural information on the molecular constituents of cells and tissues. We present DeePiCt (deep picker in context), an open-source deep-learning framework for supervised segmentation and macromolecular complex localization in cryo-electron tomography....

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Detalles Bibliográficos
Autores principales:	de Teresa-Trueba, Irene, Goetz, Sara K., Mattausch, Alexander, Stojanovska, Frosina, Zimmerli, Christian E., Toro-Nahuelpan, Mauricio, Cheng, Dorothy W. C., Tollervey, Fergus, Pape, Constantin, Beck, Martin, Diz-Muñoz, Alba, Kreshuk, Anna, Mahamid, Julia, Zaugg, Judith B.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group US 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9911354/ https://www.ncbi.nlm.nih.gov/pubmed/36690741 http://dx.doi.org/10.1038/s41592-022-01746-2

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