Fig. 2: Tumor cell analysis and malignant subpopulation identification. | npj Precision Oncology

Fig. 2: Tumor cell analysis and malignant subpopulation identification.

From: Machine learning-driven comprehensive profiling of tumor heterogeneity and sialylation in hepatocellular carcinoma

Fig. 2

A–C UMAP plots of tumor cells showing five distinct malignant subpopulations. D, E Proportion of tumor cells from different stages (early vs advanced) within each malignant cluster. F Ro/e heatmap showing the association between stages and tumor subpopulations. G Bubble plots of marker expression across malignant cell clusters. H Volcano plots showing differential gene expression between tumor subpopulations. I, J Comparison of CNV scores between different subpopulations. K–M GO enrichment analysis of differentially expressed genes in malignant subpopulations. L Shared enrichment results across all tumor subpopulations. M Unique enrichment results for each tumor subpopulation. N ssGSEA scores for KEGG metabolic pathways in malignant subpopulations.

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