Comparison of five supervised feature selection algorithms leading to top features and gene signatures from multi-omics data in cancer

Table 6 Representation Entropy (RE) of feature subsets obtained using different supervised feature selection algorithms. The higher value of representation entropy is the better choice of the feature selection algorithm

Dataset	Feature selection algorithm
Dataset	mRMR	INMIFS	DFS	SVM-RFE-CBR	VWMRmR
Exp	4.4272	4.3292	4.4012	4.3777	4.4731^a
ExpExon	4.4364	4.3815	4.4975^a	4.4418	4.457
hMethyl27	4.3622	4.3389	4.3951	4.4596^a	4.4462
Gistic2	2.275	2.9071	1.5355	1.9769	3.2265^a
Pathway activity data	4.7957	4.8386	4.3463	4.0656	4.8581^a

^aBold font justifies the highest RE among all algorithms (i.e., best performance) for each data

ISSN: 1471-2105