Fig. 4 | Scientific Reports

Fig. 4

From: Integrating single-cell RNA sequencing, WGCNA, and machine learning to identify key biomarkers in hepatocellular carcinoma

Fig. 4

Single-cell RNA-sequencing dataset analysis. t-SNE representation of the 24 cell clusters (A). t-SNE plot showing the annotation cell types in the HCC ecosystem (B). Different color clusters represent different cell types. A heatmap of typical marker gene expression (C). Brightness is positively correlated with cell expression. The expression levels of CD14 and LYZ in various cells (D). Malignant cells were reclassified into 13 clusters (E). The results of inferCNV analysis (F). Red and blue colors represent high and low CNV levels, respectively. The total score of CNV (G).

Back to article page