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. 2022 Aug 29;11(1):550–561. doi: 10.1080/21623945.2022.2115212

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© 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Figure 2. — WGCNA acquires DEGs associated with surgery. (a) Determine the number of genes and samples, and then construct a sample clustering tree. (b) Analysis of the scale-free fit index and the mean connectivity for various soft-thresholding powers. (c) A one-step network construction generated 22 modules. (d) Module and BS correlation heat map. (e) The gene significance for BS in the magenta module. (f) Venn diagram showing genes shared by DEGs and magenta modules. WGCNA, weighted gene co-expression network analysis; DEGs, differentially expressed genes; BS, bariatric surgery.