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. 2023 May 17;14:1196372. doi: 10.3389/fendo.2023.1196372

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Copyright © 2023 Zhang, Pei, Wu, Xia, Wang, Huang, Li, Xie, Du and Lin

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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Construction of the GMAS. (A) The sources of samples and the proportion of sample size in 10 datasets were analyzed. (B, C) PCA plots before and after removal of batch effects for 10 datasets. (D) WGCNA analysis searched for the modules most associated with GM activity. (E) Venn plots identified the genes most associated with GM activity. (F) A total of 117 kinds of prediction models via LOOCV framework and further calculated the C-index of each model across all validation datasets.