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. 2021 Jan 18;13:12. doi: 10.1186/s13148-020-00998-z

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© The Author(s) 2021

Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 5 — AUROC analysis for CpGs involved with differentiating low SSIGN score ccRCC patients. a AUROC using the top five CpGs obtained from a stepwise recursive partitioning analysis performed on the TCGA-KIRC derived LTS-STS cohort (LTS = 19, STS = 9). Each AUC is the cumulative score of the inclusion of an additional CpG in the following order: cg24304972 (black), cg16108059 (red), cg14010015 (green), cg02966332 (blue), and cg02139853 (fuchsia). b AUROC using the top six CpGs obtained from a stepwise recursive partitioning analysis performed on the cohort 2 (LTS = 30, STS = 27). Each AUC is the cumulative score of the inclusion of an additional CpG in the following order: chr3:195489634 (black), chr9:137024923 (red), chr5:3591951 (green), chr12:52708570 (blue), chr5:80256046 (kaki), and chr12:129338403 (fuchsia)