Table 1.

Comparison of classification accuracy (%)

Method Dataset	SGC-t	SGC-W	TGC-1	TGC-2	TSP	DLDA	k-NN	SVM	RF
Melanoma [44]	97	96	97	96	99	97	97	97	97
Breast Cancer 1 [45]	63	69	64	64	75	61	53	52	43
Brain Cancer [7]	80	77	77	75	77	65	73	60	70
Breast Cancer 2 [46]	58	50	82	78	47	73	67	73	67
Gastric Tumor [47]	89	80	89	88	91	81	96	97	95
Lung Cancer 1 [48]	98	95	98	100	95	95	98	98	98
Lung Cancer 2 [3]	93	93	93	93	97	99	99	99	99
Lymphoma [8]	74	71	59	60	57	66	52	59	57
Myeloma [49]	68	67	68	54	71	75	78	74	79
Pancreatic Cancer [50]	69	90	71	73	90	63	61	65	55
Prostate Cancer [6]	89	89	89	90	81	78	93	93	93

Note:

1 SGC-t: Single Gene Classifier with the t-test gene selection method.

2 SGC-W: Single Gene Classifier with the WMW gene selection method.

3 TGC-1: Two Gene Classifier Type 1.

4 TGC-1: Two Gene Classifier Type 2.

5 TSP: Top-Scoring Pair(s) (TSP) classifier.

6 DLDA: Diagonal Linear Discriminant Analysis.

7 k-NN: k-Nearest Neighbor (k=3).

8 SVM: Support Vector Machines.

9 RF: Random Forest.

10 Leave-one-out cross validation (LOOCV) results are presented.