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. 2021 Jan 21;12:498. doi: 10.1038/s41467-020-20603-4

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© The Author(s) 2021

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 Unsupervised clustering of the combined reference (n = 1077) and diagnostic cohort (n = 428) using t-SNE dimensionality reduction. The reference set is indicated in the upper left plot. The diagnostic samples coded as classifiable (n = 318, grey dots; upper right plot), non-classifiable (n = 106, blue dots; lower left plot) and misleading (n = 4, red dots; lower right plot). The classifiable cases show high overlap with the reference cases. The non-classifiable cases frequently fall in the periphery of or are completely separate from the reference samples. b Tumour cell purity histogram plots of the reference set and the validation set subdivided into classifiable and non-classifiable cases. The mean value is indicated as dashed red line and provided as number [%]. c Tumour cell purity plotted against calibrated score for conventional osteosarcoma cases of the validation set.