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. 2023 May 27;14:3074. doi: 10.1038/s41467-023-38886-8

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© The Author(s) 2023

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 Schematic representation of differentiation trajectories in RMS. Created with BioRender. b Heatmap showing the average predicted similarity (probability) between discrete malignant cell states from both RMS molecular subtypes (y-axis) and normal myogenic cell types, as determined by logistic regression analysis. Myogenic differentiation schematic was created with BioRender. c, d Kaplan-Meier plots showing the overall survival probabilities of (c) FN (n = 47) or (d) FP (n = 44) patients divided into high (red strata) or low (blue strata) groups based on their cell state scores (stated in the title of each plot panels). Log-rank test was used to calculate p values between high- and low-scoring groups. Source data are provided as a Source Data file.