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. 2020 Sep 25;10:541479. doi: 10.3389/fonc.2020.541479

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Copyright © 2020 Hu, Bao, Huang, Zhou and Zheng.

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 hub genes from key modules associated with clinical traits in the TCGA-LIHC dataset through WGCNA. (A) Clustering dendrograms of robust DEGs from RRA analysis and clinical traits of TNM grade, BMI, gender, and age displayed at the bottom. (B) Analysis of the scale-free fit index and the mean connectivity for various soft-thresholding powers. (C) Clustering of module eigengenes. (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 denotes a module eigengene, each column represents a clinical trait and each cell contains the correlation coefficient and P-value. (F) Scatter plot of genes in turquoise module.