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Fig. 2 | Molecular Medicine

Fig. 2

From: Use of machine learning-based integration to develop a monocyte differentiation-related signature for improving prognosis in patients with sepsis

Fig. 2

Analysis of monocyte differentiation trajectories. A Expression of marker genes used in the cell annotation process. The size of the bubble represents the percentage of cells in that cell subpopulation that express the gene. From gray to red indicates higher gene expression values; B Landscape of single-cell annotation; C Percentage of each cell type in different cohorts; D Monocyte differentiation trajectories. The pseudotime represents the order of differentiation time, the darker the color means the more biased to the early stage of differentiation, the lighter the color, the more backward the differentiation time sequence; E Monocyte differentiation states. Red represents state 1 cells, blue represents state 2 cells, and green represents state 3 cells. Cells start to differentiate from state 1, after which they partly differentiate to state 2 and partly to state 3; F Differentially expressed genes for each cell state. Differentially expressed genes were determined for each state by a Wilcoxon rank-sum test, with a screening bar of |logFC| > 0.585 adjusted for P < 0.05. Blue represents down-regulated genes, red represents up-regulated genes

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