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Fig. 5 | BMC Bioinformatics

Fig. 5

From: Comprehensive analysis of KLF2 as a prognostic biomarker associated with fibrosis and immune infiltration in advanced hepatocellular carcinoma

Fig. 5

Subtype classification based on KLFTs-17 s. A Cumulative distribution function (CDF) based on consensus clustering. B Relative change in the area under the CDF curve (CDF delta area). C Heat map of consistent clustering results when k = 2, rows and columns represent samples, and different colors represent different subtype groups. D Heat map of KLF2-target genes expression between the two subgroups. E The expression distribution of m6A-related marker genes between the two subgroups. F Kaplan–Meier survival analysis of the two subgroups. G The distribution of clinical characteristics in samples of different subgroups, in which the horizontal axis represents different groups, the vertical axis represents the percentage of clinical information contained in corresponding grouped samples, and different colors represent different clinical information; The above table represents the distribution of a clinical feature in two groups (*P < 0.05). H The heatmap of the differential gene expression between the two subgroups. I The volcano plot was constructed using the fold change values and P adjust. Red dots indicate upregulated genes; blue dots indicate downregulated genes; grey dots indicate not significant. J Enrichment results, the enriched KEGG signaling pathways [24] and Gene Ontology (GO) analysis, of the differential genes expression between the two subgroups

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