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. 2023 Feb 23;14:1007624. doi: 10.3389/fimmu.2023.1007624

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Copyright © 2023 Zhou, Sun, Tang, Yuan, Wang and Zhang

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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Weighted co-expression network related dataset construction and identification of related key modules in RA and MDD. (A, B) Analysis of network topology for various soft thresholds (β). The left panel shows the scale-free fit index (scale independence, y-axis) as a function of the soft threshold power (x-axis); the right panel displays the mean connectivity (degree, y-axis) as a function of the soft threshold power (x-axis). (C, D) Gene dendrograms were obtained by average linkage hierarchical clustering. The colored row underneath the dendrogram shows the module assignment determined by the dynamic tree cut method. (E, F) Module-trait relationships. Each row in the heatmap corresponds to an ME and each column to a clinical trait. Each cell contains the corresponding correlation and p-value. (G) Number of intersecting genes in related key modules in RA and MDD.