Figure 5.

Integrative analysis. Integrative analysis of the data of RNA-seq (29,302 genes) from 44 patients with COVID-19, cell phenotype (52 types) from 45 patients with COVID-19, and serum analytes (71 analytes) from 33 patients with COVID-19 using a sparse principal component analysis approach, MOFA v2

(A–D)(A) Integrative score as per the patient groups defined by the hierarchical clustering of the RNA-seq data. Top 10 marker contributions (as per the weight from −1 to 1) of the cell phenotypes (B), serum analytes (C), and RNA-seq (D). The integrative score corresponds to the first factor of the analysis and allows the ordering of individuals along an axis centered at 0. Individuals with an opposite sign for the factor therefore have opposite characteristics.

See also Figure S5.