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pro vyhledávání: '"Philipp Eulenberg"'
Autor:
Philipp Eulenberg, Niklas Köhler, Thomas Blasi, Andrew Filby, Anne E. Carpenter, Paul Rees, Fabian J. Theis, F. Alexander Wolf
Publikováno v:
Nature Communications, Vol 8, Iss 1, Pp 1-6 (2017)
The interpretation of information-rich, high-throughput single-cell data is a challenge requiring sophisticated computational tools. Here the authors demonstrate a deep convolutional neural network that can classify cell cycle status on-the-fly.
Externí odkaz:
https://doaj.org/article/967a554eed1a48ca89b012f67075b3c9
Autor:
Niklas Koehler, Thomas Blasi, Anne E. Carpenter, Philipp Eulenberg, F. Alexander Wolf, Fabian J. Theis, Paul Rees, Andrew Filby
Publikováno v:
Nature Communications, Vol 8, Iss 1, Pp 1-6 (2017)
Nat. Commun. 8:463 (2017)
Nature Communications
Nat. Commun. 8:463 (2017)
Nature Communications
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 progressi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bb1831d8a306a7891d558fc0c17afe13
http://link.springer.com/article/10.1038/s41467-017-00623-3
http://link.springer.com/article/10.1038/s41467-017-00623-3