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. 2020 Sep 23;11:4809. doi: 10.1038/s41467-020-18396-7

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© The Author(s) 2020

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 Flowchart indicating ranked lists of top 250 differentially expressed genes ranked by p value for each kinase inhibitor across cell lines from the transcriptomic cardiomyocyte profiling, which were then enriched and subsequently related to clinical cardiotoxicity risk scores. Enriched kinases (b) and enriched KEGG pathways (c) (p < 0.05) that show a correlation coefficient > |0.25| with cardiotoxicity risk scores and the associated enrichment p values. Source data are provided in source data file.