Research Paper Volume 15, Issue 11 pp 4906—4925
A spliceosome-associated gene signature aids in predicting prognosis and tumor microenvironment of hepatocellular carcinoma
Figure 8. Immune infiltration analysis. (A) The estimated fractions of 22 immune cells in each HCC sample using the CIBERSORT algorithm and visualized in a bar plot. (B) The heat map exhibited the differences in the fraction of 22 immune cells between the high-risk score and low-risk score groups. (C) The comparison of estimated fractions of 22 immune cells between the high-risk and low-risk score groups. (D) The correlation between the risk score and 22 tumor-infiltrating immune cells in HCC using the ssGSEA algorithm. (E) The correlation of risk score with immune infiltration level of T cells regulatory (a), Macrophages M0 (b), T cells CD8 (c), Mast cell resting (d), Monocytes (e), B cells naive (f), Macrophages M1 (g), and T cells CD4 memory resting (h).