Identification and Validation of a Novel Immune Infiltration-Based Diagnostic Score for Early Detection of Hepatocellular Carcinoma by Machine-Learning Strategies

<div>Functional enrichment analysis. (a) GO and KEGG functional enrichment analyses of the DEGs. (b) Disease Ontology enrichment analysis of the DEGs between HCC and control samples. (c) Enriched gene set enrichment analysis (GSEA) terms between HCC and controls.</div>

Gastroenterology Research and Practice

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Figure 2

Figure 2: Identification and Validation of a Novel Immune Infiltration-Based Diagnostic Score for Early Detection of Hepatocellular Carcinoma by Machine-Learning Strategies 

Figure 2 | Identification and Validation of a Novel Immune Infiltration-Based Diagnostic Score for Early Detection of Hepatocellular Carcinoma by Machine-Learning Strategies 