Fig. 3: Trajectory analysis of tumor cell subpopulations. | npj Precision Oncology

Fig. 3: Trajectory analysis of tumor cell subpopulations.

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

Fig. 3

A Monocle2 trajectory plot showing the progression of tumor cells along a pseudotime axis. B, C Distribution of different tumor cell subpopulations across the pseudotime axis in Monocle2, with each subpopulation colored accordingly. D Monocle2 trajectory plot colored by state. E Proportion of cell subpopulations within each state along the pseudotime trajectory. F CytoTRACE analysis of tumor cell differentiation potential. G–I Slingshot trajectory analysis, showing two distinct differentiation pathways colored by tumor stage, cell type, and state. J Expression of top markers in each subpopulation across pseudotime. K Heatmap of genes correlated with pseudotime.

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