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. 2023 Mar 29;14:1101564. doi: 10.3389/fimmu.2023.1101564

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Copyright © 2023 Li, Liu, Wang, Wang, Zhu, Tang, Wang, Zhou, Gao and Liu

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 characteristic biomarkers of SCI. (A) Dendrogram of immune-related genes in SCI. Each branch of the figure represents one gene, and every color below represents a coexpression module. (B) Heatmap of the correlations between module signature genes and clinical features of SCI. Each row represents a module trait gene, and each column represents a trait. Each cell includes the corresponding correlation and p value. (C) WGCNA hub immune-related genes, DEIGs in SCI, and DEIGs in the TC Venn diagram. (D) LASSO logistic regression analysis. A P value < 0.05 was regarded as statistically significant. SCI, spinal cord injury; HC, healthy uninjured control; TC, trauma control with noncentral nervous system injury; WGCNA, weighted gene coexpression network analysis; AUC, area under the curve; DEIGs, differentially expressed immune-related genes.