m⁶A RNA Methylation Regulators Elicit Malignant Progression and Predict Clinical Outcome in Hepatocellular Carcinoma

Figure 2

Identification of HCC subtypes using consensus clustering. (a, b) Spearman correlation analysis of the fourteen m⁶A modification regulators in the ICGC (a) and TCGA (b) cohorts. (c) The m⁶A modification-related interactions among the fourteen m⁶A RNA methylation regulators. (d) Consensus clustering CDF for to . (e) Consensus clustering matrix of XXX TCGA samples for . (f) Principal component analysis of the total RNA expression profile in TCGA dataset. (g) Kaplan-Meier survival curves of clusters 1 and 2 in the ICGC cohort with value. (h) Kaplan-Meier survival curves of clusters 1 and 2 in TCGA cohort with the value. (i) In TCGA, the fustat represents the status of the patients.

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