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. 2022 Oct 6;12:16693. doi: 10.1038/s41598-022-21050-5

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© The Author(s) 2022

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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Correlation analysis among immune cells and Differential analysis of immune cells. (a) The 22 immune cell populations in normal lung tissue and NSCLC. ‘con’ represents normal lung tissue, ‘treat’ represents NSCLC. The vertical coordinate represents the amount of immune cells. (b) Correlation heatmap Indicates the correlation analysis of immune cells. The redder of the point, the stronger the positive correlation, the reddest point represents the two immune cells with the most significant positive correlation. The bluer the colour of the point, the stronger the negative correlation, the two immune cells with the most significant negative correlation correspond to the bluest points. (c) The vioplot showed the difference in 22 immune cells between normal lung tissue and NSCLC. ‘con’ represents normal lung tissue, ‘treat’ represents NSCLC. P < 0.05 means difference is statistically significant.