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. 2021 Oct 13;11:745384. doi: 10.3389/fonc.2021.745384

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Copyright © 2021 Zhou, Han, Li, Pi, Lyu, Xiang, Zhou, Chen, Wang and Yang

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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Construction of a co-expression network by WGCNA. (A) Determination of soft-thresholding power in WGCNA analysis. Scale-free fit index of WGCNA for various soft-thresholding powers (β). (B) Analysis of the mean connectivity under the different soft-thresholding powers. (C) Dendrogram of the differentially expressed genes (DEGs), clustered based on dissimilarity measure clustering (1-Tom). (D) Clustering of module genes. (E) Heatmap of the correlation among modules (red represents high correlation; blue represents low correlation). (F) Correlation between gene modules and clinical characteristics of melanoma (red indicates high positive correlation; blue indicates high negative correlation). (G) The relationship between gene significance and module membership of the blue module was analyzed.