DeepCycle reconstructs a cyclic cell cycle trajectory from unsegmented cell images using convolutional neural networks

The advent of single‐cell methods is paving the way for an in‐depth understanding of the cell cycle with unprecedented detail. Due to its ramifications in nearly all biological processes, the evaluation of cell cycle progression is critical for an exhaustive cellular characterization. Here, we prese...

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Detalles Bibliográficos
Autores principales: Rappez, Luca, Rakhlin, Alexander, Rigopoulos, Angelos, Nikolenko, Sergey, Alexandrov, Theodore
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Reports
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7537830/
https://www.ncbi.nlm.nih.gov/pubmed/33022142
http://dx.doi.org/10.15252/msb.20209474

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7537830/
https://www.ncbi.nlm.nih.gov/pubmed/33022142
http://dx.doi.org/10.15252/msb.20209474

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