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. 2023 Jul 8;23:464. doi: 10.1186/s12903-023-03138-0

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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 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. 8 — Consensus clustering identifies the molecular subtypes of intersecting genes. (A) Consensus matrix for k = 2. (B) Consensus clustering CDF for k = 2 to 9. (C) Relative change in area under the cumulative CDF curve for k = 2 to 9. (D) Tracking plot showing the number of consensus clusters for samples in each k. (E) Heatmaps of intersecting gene expression. (F) Immune cell fraction between cluster A and cluster B. (G) Immune cell fraction of tagged genes between gene clusters. (H) Immune cell fraction between CMGs clusters. (I) Sankey diagram of CMGs scores versus CMGs scores and gene scores. (J) Differences in CMGs scores by CMGs score type. (K) Differences in CMGs scores by gene score type