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. 2021 Sep 1;9:700607. doi: 10.3389/fcell.2021.700607

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Copyright © 2021 Zhong, Wang, Zhu and Shen.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Identification of key modules associated with clinical traits in the TCGA-LUAD dataset by WGCNA. (A) Clustering dendrograms of samples; (B) Analysis of the scale-free fit index and the mean connectivity for various soft-thresholding powers; (C) Checking the scale-free topology when β = 4; (D) Dendrogram of all DEGs clustered with dissimilarity measure based on topological overlap; (E) Heatmap of the correlation between module eigengenes and clinical traits. Each row denoted a module eigengene, each column represented a clinical trait and each cell contained the correlation coefficient and P-value; (F) Gene significance in different modules (bottom); (G) Scatter plot of genes in yellow module.