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. 2024 Apr 10;14:8417. doi: 10.1038/s41598-024-58888-w

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© The Author(s) 2024

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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Cluster analysis of IVDD patients based on RBM15, YTHDC1. (A,B) Eight sub-clusters of RBM15, YTHDC1 for IVDD patients. (C) Correlation of patients between groups when the consensus clustering matrix k = 2. (D) PCA analysis at optimal clustering. Groups A and B represent two categories of IVDD patients based on the expression of RBM15, YTHDC1. (E) Expression of 23 immune cells based on optimal clustering. (F) Heat map of the correlation between immune cell infiltration of RBM15, YTHDC1. Red indicates positive correlation, blue indicates negative correlation.