Fig. 6: Integrative analysis of clinical and longitudinal immunological data reveals distinct immunophenotypic groups of SARS-CoV-2 infected individuals.

a Clinical study overview. b t-SNE map of integrated clinical and immunological data colour-coded based on timepoint or disease severity. c Clustered t-SNE analysis. d Heatmap of clinical and immune parameters across three identified clusters. e PCA plot representing integrated immunological data, grouped based on the disease severity. Percentage indicates the variance explained by the principal component (PC). f Variable correlation plot. Positively correlated variables are grouped together, while negatively correlated variables are positioned on opposite quadrants. The distance between variables and the origin measures the quality of the variables on the factor map, while the colour indicated the quality of representations as cos2. g Quality of variable representations (colour-coded, cos2) and contributions of variables to principal components 1 and 2 (size of the circle). h Top 10 variables and their contribution to PC 1 and 2. i Correlations of immunological parameters with time component across samples. Spearman’s correlation coefficient (colour coded) and only significant values shown (adjusted for multiple testing using the Benjamini-Hochberg correction at the significance threshold FDR < 0.05). Black boxes indicate clusters (hierarchical clustering).