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. 2021 Mar 16;16:18. doi: 10.1186/s13027-021-00357-4

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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. 3 — Gene Modules Identified by Weighted Gene Co-Expression Network Analysis. a Dendrogram of consensus module eigengenes obtained by WGCNA on the consensus correlation. b Heatmap plot of the adjacencies of modules. Red represents positive correlation and blue represents negative correlation. c Relationships of consensus module eignegenes and clinical traits. The module name is shown on the left side of each cell. Numbers in the table report the correlations of the corresponding module eigengenes and traits, with the p values printed below the correlations in parentheses. The table is color coded by correlation according to the color legend. Intensity and direction of correlations are indicated on the right side of the heatmap (red, positively correlated; blue, negatively correlated)