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. 2022 Jul 30;22:835. doi: 10.1186/s12885-022-09931-4

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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. 2 — Identification of key modules highly correlated with stage I to IV in the TCGA COAD-READ dataset. A The sample clustering tree of CRC samples in the TCGA dataset to find and remove outlier samples. B Analysis of scale-free fit index (left) and mean connectivity (right) for each soft-threshold power. C Clustering of module eigengenes with the red line representing cut height (0.4). D Clustering dendrograms of robust DEGs and related modules based on a dissimilarity measure (1- TOM). E Heatmap of the correlation between module eigengenes and stage I to IV (as clinical traits) in CRC. Each cell contains p-value and the correlation coefficient. Scatter plot of key modules related to stage I (F), stage II (G), stage III (H) and stage IV (I)