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Fig. 6 | Molecular Medicine

Fig. 6

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

Fig. 6

Analysis of the gene regulatory network of EVL. A EVL was divided into high and low expression groups by the presence or absence of EVL expression. The color changes from gray to red representing increasing gene expression; B Differential analysis of EVL low-expressing cells and EVL high-expressing cells. Green represents down-regulated genes, red represents up-regulated genes, and blue represents genes that did not change; C GO enrichment analysis. In the outermost circle, different colors represent different pathways. In the inner circle, each bar represents a gene, and the bluer the color, the lower the expression value of that gene; D Bayesian network to infer the gene regulatory network of EVL. Each node represents a gene, the redder the node color, the larger the node means the higher the expression value of the gene. The thicker the line is, the greater the strength of the regulatory effect

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