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Table 9 Average size of selected gene subset by each method

From: Genetic algorithm-based feature selection with manifold learning for cancer classification using microarray data

Dataset

Proposed feature selection Framework

CER-ABC

MBEGA

Iso-GA

MDS-GA

GA

Breast

51.4 (4.5)

53.8 (3.3)

56.4 (3.8)

127.4 (8.3)

14.5 (4.2)

CNS

4.0 (1.4)

7.0 (1.4)

8.2 (0.8)

18.4 (2.9)

20.5 (6.9)

Colon

11.8 (2.5)

17 (2.0)

18.4 (2.7)

19.6 (4.0)

24.5 (7.0)

Leukemia

43.2 (3.3)

52.4 (3.0)

54 (4.9)

144.2 (18.3)

12.8 (4.9)

Lung

18 (8.0)

32.4 (4.9)

37.2 (5.3)

998.6 (30.02)

14.1 (7.0)

Lymphoma

48.4 (3.7)

66.6 (4.5)

71.2 (1.1)

112 (7.7)

34.3 (8)

MLL

21 (4.1)

31.8 (5.6)

38.2 (7.9)

1538.4 (56.0)

32.1 (10.6)

SRBCT

17.6 (1.9)

30.4 (1.8)

32 (2.9)

568.2 (8.3)

60.7 (11.7)