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. 2020 Aug 24;20:796. doi: 10.1186/s12885-020-07298-y

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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. 1 — Construction of co-expression modules and identification of clinically significant modules. a) Analysis of the scale-free fit index and mean connectivity for different soft thresholding powers, and four was the most fit power value. b) The cluster dendrogram of top 25% genes ranked by SD from large to small in GSE65858. Each branch represents one gene, and each color represents one co-expression module. c) Heatmap of the correlation between module eigengenes (MEs) and the clinical features of HNSCC samples. d) The turquoise module was selected as the most significant module for further analysis