Table 6

Generic feature selection (set-level)

Sets

Methods

Accuracy

Avg Subrank

Selection

Aggrgt

Median

Avg

σ

Iqr


1:10

SVM-RFE

SVD

88.3

80.6

17.3

33.0

17.6

1:10

IG

SVD

87.0

79.0

18.7

31.6

17.4

1:10

IG

AVG

84.6

78.2

18.6

33.4

18.7

1:10

SVM-RFE

AVG

84.4

79.2

17.1

31.2

19.2

1:10

SVM-RFE

SetSig

82.5

78.7

17.0

31.2

19.4

1

IG

SVD

80.8

76.3

17.7

33.1

22.5

1:10

IG

SetSig

80.0

77.1

17.4

33.2

20.8

1

SVM-RFE

SetSig

71.8

73.7

15.8

26.4

23.3

1

SVM-RFE

SVD

71.5

74.4

17.4

30.3

23.0

1

IG

AVG

70.9

74.0

18.6

33.1

24.1

1

SVM-RFE

AVG

70.8

72.5

15.4

26.6

24.4

1

IG

SetSig

66.2

68.8

16.2

25.0

28.9


Performance of the set level classification strategy using the information gain and SVM-RFE heuristics for ranking gene sets. Column descriptions are as in Table 3.

Holec et al. BMC Bioinformatics 2012 13(Suppl 10):S15   doi:10.1186/1471-2105-13-S10-S15

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