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. 2022 Jun 22;23:48. doi: 10.1186/s12863-022-01065-7

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© The Author(s) 2022

Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 4 — The hub genes were screened and analyzed by KEGG and correlation analysis. The top 11 genes with the most significance were selected as hub genes according to the score (a). KEGG pathway analysis of hub genes was analyzed by DAVID (b). The distribution relationship between hub genes and pathways (c): Red represents upregulated genes and blue represents downregulated genes. Correlation analysis of core TF and hub genes (d) and gene-miRNA interactions network (e), circles represents genes, diamonds represents TFs, and squares represents the miRNAs, sizes represents the degree