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Fig. 5 | BMC Medical Genomics

Fig. 5

From: Machine learning algorithm predicts fibrosis-related blood diagnosis markers of intervertebral disc degeneration

Fig. 5

Immune-related analysis of diagnostic genes. (A) Heat map of different cell contents derived by MCP-counter analysis. The first row indicates the sample grouping, with blue for healthy samples and red for disease samples. Each row indicates the quantity of each cell in different samples, while each column indicates the total cell counts in each sample. The tree on the left side represents the results of cluster analysis, grouping different cell types from various samples. (B) Box plot of cell content between groups as derived by MCP-counter analysis. (C) Heat map of the different cell contents derived from ssGSEA analysis. The first row indicates the sample grouping, with blue for healthy samples and red for disease samples. Each row indicates the quantity of each of the 28 cell types in different samples, while each column indicates the cell counts in each sample. The tree on the left side represents the results of the cluster analysis of different cell types from different samples. (D) Box plot of cell content between groups as derived by ssGSEA analysis

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