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Table 4 Some genes and their dysfunctions from the interactions of selected feature subsets of different methods

From: Robust biomarker discovery for hepatocellular carcinoma from high-throughput data by multiple feature selection methods

Gene Subset Function
SKAP1 6 methods SKAP1 encodes a T cell adaptor protein and it is involved in HCC signaling pathways [32, 33]
EPHB1 SVM, KNN, NN Ephrin-B1 participates in the tumor progression through promoting the formation of new vessels of HCC [36]
STC2 NN, SVM, KNN STC2 is overexpressed in HCC and acts as a potential oncoprotein [37]
CDHR2 NN, SVM, KNN CDHR2 is highly expressed in HCC para-carcinoma tissue, but is weakly expressed in tumors. It is found to inhibit tumor growth [38]
FAM134B NN, SVM, KNN FAM134B works as a tumor inhibitor and inhibits cancer growth in vitro and in vivo [39]
MUC6 RF, NN, SVM, KNN MUC6 encodes a member of the mucin protein family. It is a biomarker gene of many cancers [40]
PHOSPHO1 Adaboost, NB, NN, SVM, KNN, Stepwise Regression PHOSPHO1 is associated with hepatitis B [41]
OXT NN, SVM, KNN, Stepwise Regression OXT is found to regulate cell proliferation. It is a key differential gene in nonalcoholic fatty liver disease [42]