A deep learning approach for time-consistent cell cycle phase prediction from microscopy data.

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Title: A deep learning approach for time-consistent cell cycle phase prediction from microscopy data.
Authors: Bonte, Thomas1,2,3 (AUTHOR), Pourcelot, Oriane4 (AUTHOR), Safieddine, Adham5,6 (AUTHOR), Slimani, Floric4 (AUTHOR), Mueller, Florian7 (AUTHOR), Weil, Dominique5,6 (AUTHOR), Bertrand, Edouard4 (AUTHOR), Walter, Thomas1,2,3 (AUTHOR) thomas.walter@minesparis.psl.eu
Source: PLoS Computational Biology. 12/11/2025, Vol. 21 Issue 12, p1-21. 21p.
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  Data: A deep learning approach for time-consistent cell cycle phase prediction from microscopy data.
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  Data: <searchLink fieldCode="JN" term="%22PLoS+Computational+Biology%22">PLoS Computational Biology</searchLink>. 12/11/2025, Vol. 21 Issue 12, p1-21. 21p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=190181170
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        Value: 10.1371/journal.pcbi.1013800
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        Text: English
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      – TitleFull: A deep learning approach for time-consistent cell cycle phase prediction from microscopy data.
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              Text: 12/11/2025
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