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. 2024 Jun 4;10:65. doi: 10.1038/s41540-024-00389-7

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© The Author(s) 2024

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 3 — a The respective predictive importances of ERK and Akt activities, demonstrating that time points of high importance (higher values on the Y-axis) exist throughout the time course, in particular for ERK. b A scatter plot showing the importance scores of ERK and Akt activities against the differences between the median C/N ratios of the corresponding reporter for the cell fate classes (dividing and non-dividing) during the same time course, with a larger point size indicating a later time point. The most predictive/important time points in a were generally consistent with large differences in the median C/N ratios between cell fate classes. c Distribution of cell division times in the High-dose (train) dataset, showing that the division times of dividing cells were localized towards the end of the 48 hour period.