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Fig. 2 | Genome Medicine

Fig. 2

From: A machine learning classifier using 33 host immune response mRNAs accurately distinguishes viral and non-viral acute respiratory illnesses in nasal swab samples

Fig. 2

33-mRNA score reflects transcriptional changes in macrophages. UMAP representation of scRNA-seq data from SCP1289 and GSE176269. A–D represent clustering based on cell type (A), clinical status (B), severity (C), and 33-mRNA score (D). High score is attributable to myeloid cells (macrophages, dendritic, and neutrophil cells). Color coding represented in the upper panel applies to the lower panel as well. E Boxplots showing 33-mRNA score distribution in macrophages and neutrophils by clinical status. p-values were calculated using Wilcox test. E shares color code with B. F Proportion of macrophages out of immune cells sequences per sample as function of disease severity. G Distribution of pseudo-bulk 33-mRNA score in macrophages as function of disease severity. F and G share color code with C

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Genome Medicine

ISSN: 1756-994X

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