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. 2023 Aug 7;14:1224832. doi: 10.3389/fendo.2023.1224832

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Copyright © 2023 Xu, Jiang, Shen, Zhao, Zhang, Zhu, Liu and Xu

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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hdWGCNA has identified the key epithelial cell genes in the pathogenesis of gastric cancer. (A) The selection of the optimal soft threshold. (B) Build a co-expression network based on the ideal “5” soft threshold and divide the genes into several modules to get a gene clustering tree. (C) Calculate the feature-based gene connectivity of each gene in the co-expression network analysis to determine the highly connected genes in each module. (D) Calculate gene scores for each module gene based on the UCell algorithm. (E) Correlation heatmap between modules. (F) The correlation heatmap between grouping information (GC and normal tissues) and epithelial cells. * represent P < 0.05, ** represent P < 0.01, and *** represent P < 0.001.