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. 2022 Mar 25;13:1590. doi: 10.1038/s41467-022-28423-4

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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. 6 — a Frequency among 5 cross-validation folds of 3 models where a CellProfiler feature was within the 1200 most significant of the 3483 features reveals a diverse set of features supporting PD classification. b Frequency of each class of Cell Painting features of the 100 most common features in a, with correlated features removed. c Images of representative cells and respective cell line–level mean (n = 74 individuals, over all 4 batches) feature values (points and box plot; point colors denote disease state) for 4 features randomly selected from those in b. Cells closest to the 25th, 50th and 75th percentiles were selected. Scale bar: 20 μm. Box plot components are: horizontal line, median; box, interquartile range; whiskers, 1.5× interquartile range. arb. units: arbitrary units. Two-sided Mann–Whitney U test: ns: P > 0.05; *0.01 < P ≤ 0.05; ****P ≤ 0.0001; P values from top to bottom: P < 0.0001, P < 0.0001, P = 0.062, P = 0.44, P = 0.15, P = 0.011, P < 0.0001, P = 0.012.