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. 2024 Mar 15;15:1365206. doi: 10.3389/fimmu.2024.1365206

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Copyright © 2024 Li, Yan, Zhang, Pan and Guo

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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WGCNA analysis and identification of ARDS-ARDEGs in GSE163426. (A) The soft thresholding power of WGCNA is shown. (B) The average connectivity of WGCNA is displayed. (C) The top 75% of the gene clustering tree’s variance is displayed, with each gene represented by a branch and a co-expression module by a color underneath. (D) The association of feature genes between modules is displayed on a heatmap. (E) A heatmap illustrating the correlations between the modules and traits is displayed; each color corresponds to a co-expression module, and the numbers indicate the p-values and module-trait correlation coefficients. (F) The relationship between the ARDS GS and the magenta module’s MM is displayed as a scatter plot. (G) A scatter plot illustrates the relationship between the magenta module’s MM and aging GS. (H) The intersection of ARDEGs along with significant genes in the magenta module is shown in a Venn diagram.