Machine learning and multi-omics data reveal driver gene-based molecular subtypes in hepatocellular carcinoma for precision treatment
Fig 4
Distinct multi-omics features of the two subtypes.
(A) Box plot showing the number of nonsynonymous mutations in each subtype. (B) Box plot displaying the CIN ratio in each subtype. (C) Heatmap illustrating CNVs of the 22 autosomes in both subtypes, with red and blue indicating copy number amplifications and deletions, respectively. (D) Oncoplot presents the top 20 significantly mutated genes in the subtypes based on the p-values. (E) Identifying of subtype-specific methylation probes in the two groups using the R package ChAMP, with a threshold of p.adjust < 0.05 and |Δβ| > 0.2. (F) Expression profiles of DNA methyltransferase family members DNMT1, DNMT3A, and DNMT3B in these two subtypes.