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

<div>Screening for potential diagnostic gene biomarkers of HCC by two machine learning strategies. (a) Screening diagnostic gene biomarkers using the least absolute shrinkage and selection operator (LASSO). (b) The optimal gene biomarker selection via support vector machine-recursive feature elimination (SVM-RFE) algorithm. (c) Venn diagram displaying eight diagnostic biomarkers shared by LASSO and SVM-RFE algorithms.</div>

Gastroenterology Research and Practice

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Figure 3: Identification and Validation of a Novel Immune Infiltration-Based Diagnostic Score for Early Detection of Hepatocellular Carcinoma by Machine-Learning Strategies 

Figure 3 | Identification and Validation of a Novel Immune Infiltration-Based Diagnostic Score for Early Detection of Hepatocellular Carcinoma by Machine-Learning Strategies 