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. 2023 Nov 10;8:432. doi: 10.1038/s41392-023-01684-1

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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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 4 — Multi-omics correlation analysis of COVID-19 patients. a Heatmaps display the correlation analysis of viral, fungal, bacterial, and virulence factor, with differentially expressed genes in COVID-19 patients. Spearman correlation coefficients with adjusted p-values < 0.05 are marked in colored cells. b Heatmaps depicting correlation analysis between differentially expressed genes of viral and bacterial with cytokine levels in invasive ventilated COVID-19 patients. Positions with adjusted p-values < 0.05 are shown in color code, and the Spearman correlation coefficient numbers are within each grid. Only absolute correlation coefficients greater than 0.5 are displayed. COVID-19 patients (n = 63)