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. 2021 May 12;13:109. doi: 10.1186/s13148-021-01090-w

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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. 1 — Identification of the four molecular subgroups by using the consensus clustering analysis. a Relationship between the relative changes in the area under the cumulative distribution function (CDF) curve and the numbers of the molecular subgroups (K value). b Consensus CDF of the different numbers of clusters. The X-axis represents the consensus index. c Heat map of the consensus matrix when the total samples are clustered into four molecular subgroups (K = 4). d Heat map of 4227 CpG sites data and corresponding clinicopathological information of the four molecular subgroups