Reconstructing cell cycle and disease progression using deep learning

We show that deep convolutional neural networks combined with nonlinear dimension reduction enable reconstructing biological processes based on raw image data. We demonstrate this by reconstructing the cell cycle of Jurkat cells and disease progression in diabetic retinopathy. In further analysis of...

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Detalles Bibliográficos
Autores principales: Eulenberg, Philipp, Köhler, Niklas, Blasi, Thomas, Filby, Andrew, Carpenter, Anne E., Rees, Paul, Theis, Fabian J., Wolf, F. Alexander
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5587733/
https://www.ncbi.nlm.nih.gov/pubmed/28878212
http://dx.doi.org/10.1038/s41467-017-00623-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5587733/
https://www.ncbi.nlm.nih.gov/pubmed/28878212
http://dx.doi.org/10.1038/s41467-017-00623-3

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