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

Table 3 Summary of the comparative performance of the proposed feature selection algorithm against other feature selection algorithms

Dataset	Criteria	mRMR	INMIFS	DFS	SVM-RFE-CBR
Exp	W-D-L (VWMRmR against other^a)	2-0-2	1-1-2	4-0-0	1-0-3
ExpExon	W-D-L (VWMRmR against other^a)	3-0-1	4-0-0	4-0-0	3-0-1
hMethyl27	W-D-L (VWMRmR against other^a)	3-0-1	3-0-1	4-0-0	2-0-2
Gistic2	W-D-L (VWMRmR against other^a)	0-0-4	1-0-3	3-0-1	0-0-4
Pathway activity data	W-D-L(VWMRmR against other^a)	2-1-1	4-0-0	2-0-2	4-0-0

^aOther is the feature selection method denoted by each specific column (e.g., mRMR in third column)