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. 2022 Jan 16;23:59. doi: 10.1186/s12864-022-08295-0

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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. 7 — Visualization of Spearman correlation between immune cell subpopulations and CDKN1A/JUN. a Correlation analysis between immune cell subpopulations and CDKN1A. b Correlation analysis between immune subpopulations and JUN. The dot with a larger size has a stronger correlation coefficient. The p value is presented by different color, the dot with a more purple color has a smaller p value, while the dot with a yellower color has a larger p value