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. 2020 Aug 20;20:402. doi: 10.1186/s12935-020-01491-6

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© The Author(s) 2020

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 — Weighted co-expression network and enrichment analysis. a Genes were divided into different modules according to the dynamic cutting tree method, and different colors represent different modules. b The heatmap of the correlation between the gene module and clinical traits, p < 0.05 indicates statistical significance. c Gene significance and module membership scatter diagrams of the turquoise module. The dots in the red box are represented as key genes. d The left side of the picture shows the interaction network map of enriched proteins, and the same color indicates the same enrichment. The right side of picture shows the enriched terms decreasing from top to bottom by the significance of enrichment