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. 2022 Aug 15;2(8):742–755. doi: 10.1038/s43587-022-00263-3

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© The Author(s) 2022

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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 3 — a, Heatmap of variation in predictions by members of ensemble; 500 sample nuclei as rows, ensemble members as columns; blue is control, and white is senescent. b, Heatmap of per-class accuracy for control (Ctrl) and senescent (Sen) by ensemble model. c, Accuracy of deep ensemble. d, ROC curve for the deep ensemble. e, Accuracy of single model, BNNs, deep ensemble and bagging (Bag). f, Accuracy of deep ensemble with normalized samples. g, ROC curve for the deep ensemble with normalized samples. h, Accuracy of RS-only model. i, Accuracy of IR-only model.