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. 2023 Aug 4;23(3):263. doi: 10.1007/s10142-023-01158-1

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© The Author(s) 2023

Open Access This 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/.

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Fig. 4 — Identification of ubiquitination-related clusters in PAAD using consensus clustering analysis. A The consensus CDF curve when k is between 2 and 9. B The correlation between two ubiquitination-related clusters when k value is 2. C–F Comparison of OS, PFI, DSS, and DFI between two ubiquitination-related clusters. G Relationship of ubiquitination pathway activities and ubiquitination-related clusters. H Heatmap shows the correlation between ubiquitination-related clusters and clinicopathologic traits. I Volcano plot displayed 2689 upregulated and 1656 downregulated genes in cluster 2 compared with cluster 1. J GOEA was generated based on 2689 upregulated and 1656 downregulated genes with the Cytoscape plug-in ClueGO, CluePedia, and yFiles Layout Algorithms. The different colors of node represented the different GO results of 2689 upregulated and 1656 downregulated genes. The size of the node represented p value, and the p values of all nodes are < 0.05