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. 2023 May 16;24(10):8819. doi: 10.3390/ijms24108819

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© 2023 by the authors.

Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).

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HdWGCNA revealed the blue and turquoise modules are two hub modules strongly associated with inflammation. (A) Soft power = 9 was selected to construct the scale-free network. (B) Dendrogram was utilized to visualize the 10 modules in the scale-free network. (C) Random forest algorithm was used to select inflammation-related modules by analyzing the module eigengenes (MEs). (D) Using the receiver operating characteristic curve (ROC) to evaluate the accuracy of our model. (E) Heatmap to compare the differences between iNOA and normal based on MEs.