Fig. 2 | Scientific Reports

Fig. 2

From: Integrating bulk and single cell sequencing data to identify prognostic biomarkers and drug candidates in HBV associated hepatocellular carcinoma

Fig. 2

Integrated machine learning framework develops immune risk index based on HBV-HCC related immune genes for HBV-HCC. (A) 101 different combinations of machine learning algorithms and each model’s c-index were calculated for training TCGA-LIHC and test ICGC-LIRI-JP datasets. (B) The number of trees for determining with minimal error and the importance of the 14 most valuable HBV-HCC related immune genes based on the RSF algorithm. (C) The optimal cutoff of training TCGA cohort. (D, E) Kaplan-Meier survival curve of OS between high- and low-risk group in the TCGA-LIHC (D) and ICGC-LIRI-JP datasets (E).

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