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. 2023 Jul 11;14:1205741. doi: 10.3389/fimmu.2023.1205741

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Copyright © 2023 Li, Long, Nong, Zheng, Meng and Zhu

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 gene modules and co-expression networks associated with TB. (A) Correlation analysis between module eigengenes and clinical status in control and TB groups. The genes in the blue module exhibited the most significant relationship with TB. (B) Correlation analysis between module eigengenes and clinical status in the two clusters. Each row represents a module; each column represents a clinical status. Module-clinical features relationship analysis demonstrated a high correlation between the blue module and TB clusters. (C) Identification of the intersected genes of disease WGCNA and cluster-WGCNA. The intersection of genes in the two modules yielded 154 genes.