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. 2022 Aug 8;5:794. doi: 10.1038/s42003-022-03759-1

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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. 5 — a Correlation matrix showing how functional measurements are related and predictive of how cancer therapies affect heterogeneity. b EC_50,SD is strongly correlated with EC_50,SGR (R = 0.76, p = 0.01) c Standard deviation in growth at 20 µM concentration is strongly correlated with standard deviation of growth at EC₅₀. d Plot of mean specific growth rate plotted against standard deviation in growth parameterized by time for MDA-MB-231 cells treated with maximal concentration of drug panel A. e Plot of mean specific growth rate plotted against standard deviation in growth parameterized by time for BT-474 cells treated with maximal concentration of drug panel A. Control cells for d and e are shown as a cluster of black dots. Arrows in d and e show forward direction in time. Error bars show SEM.