Table 6 |
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Comparison of performance for the CNS and Lung Cancer data sets using six classifiers with the same number of genes chosen by three gene selection methods |
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|
Data Sets |
Gene Selection Methods |
Classifiers |
m-fold of genes |
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|
|
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|
1-fold |
2-fold |
3-fold |
4-fold |
5-fold |
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|
|
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|
CNS |
GDI.Dominant |
OVO.SVM-L |
35.5 ± 1.0 |
32.0 ± 1.1 |
27.4 ± 1.0 |
26.6 ± 1.1 |
24.3 ± 1.0 |
|
OVO.SVM-R |
36.5 ± 1.1 |
30.8 ± 1.1 |
27.4 ± 1.1 |
25.8 ± 1.1 |
24.0 ± 1.0 |
||
|
OVA.SVM-L |
35.9 ± 1.4 |
32.8 ± 1.2 |
28.8 ± 1.0 |
27.8 ± 1.0 |
26.3 ± 1.0 |
||
|
OVA.SVM-R |
35.2 ± 1.2 |
29.9 ± 1.2 |
27.7 ± 1.0 |
26.3 ± 1.0 |
25.3 ± 1.0 |
||
|
NMC |
33.5 ± 1.1 |
27.0 ± 1.0 |
23.7 ± 1.0 |
22.9 ± 1.0 |
21.4 ± 0.9 |
||
|
NNC |
33.0 ± 1.1 |
28.1 ± 1.1 |
25.6 ± 1.0 |
26.1 ± 0.9 |
25.1 ± 0.9 |
||
|
|
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|
OVA.SNR [12] |
OVO.SVM-L |
37.1 ± 1.1 |
30.5 ± 1.0 |
27.0 ± 1.0 |
23.5 ± 1.0 |
21.6 ± 1.0 |
|
|
OVO.SVM-R |
35.9 ± 1.1 |
29.6 ± 1.0 |
27.1 ± 1.0 |
23.2 ± 1.0 |
21.6 ± 1.0 |
||
|
OVA.SVM-L |
36.8 ± 1.1 |
30.9 ± 1.1 |
26.8 ± 0.9 |
22.8 ± 0.9 |
20.8 ± 0.9 |
||
|
OVA.SVM-R |
35.2 ± 1.1 |
29.1 ± 0.9 |
26.1 ± 0.9 |
23.7 ± 0.9 |
21.6 ± 1.0 |
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|
NMC |
32.8 ± 1.1 |
26.3 ± 1.0 |
23.5 ± 1.0 |
20.6 ± 0.8 |
18.5 ± 0.9 |
||
|
NNC |
34.9 ± 1.0 |
28.3 ± 1.0 |
26.0 ± 1.0 |
24.0 ± 0.9 |
21.5 ± 1.0 |
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|
|
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|
ANOVA+Correlation [11] |
OVO.SVM-L |
38.5 ± 1.1 |
32.2 ± 1.0 |
27.0 ± 0.9 |
24.0 ± 0.8 |
21.6 ± 0.8 |
|
|
OVO.SVM-R |
37.1 ± 1.1 |
30.8 ± 1.0 |
27.4 ± 1.0 |
25.0 ± 0.9 |
21.4 ± 0.8 |
||
|
OVA.SVM-L |
38.5 ± 1.1 |
33.4 ± 1.0 |
27.4 ± 1.0 |
25.5 ± 0.8 |
23.2 ± 0.8 |
||
|
OVA.SVM-R |
35.8 ± 1.1 |
31.0 ± 1.1 |
26.0 ± 1.0 |
25.1 ± 0.8 |
24.1 ± 0.9 |
||
|
NMC |
33.7 ± 1.3 |
24.9 ± 0.9 |
20.8 ± 0.8 |
19.7 ± 0.8 |
19.2 ± 0.8 |
||
|
NNC |
36.0 ± 1.2 |
29.7 ± 1.0 |
24.4 ± 0.9 |
23.3 ± 0.8 |
21.4 ± 0.7 |
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|
|
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|
Lung Cancer |
GDI.Dominant |
OVO.SVM-L |
9.5 ± 0.3 |
8.1 ± 0.3 |
7.8 ± 0.3 |
7.8 ± 0.3 |
7.4 ± 0.3 |
|
OVO.SVM-R |
10.0 ± 0.4 |
8.3 ± 0.3 |
8.1 ± 0.3 |
7.1 ± 0.3 |
6.9 ± 0.3 |
||
|
OVA.SVM-L |
9.4 ± 0.3 |
7.7 ± 0.3 |
7.8 ± 0.3 |
7.5 ± 0.3 |
7.8 ± 0.3 |
||
|
OVA.SVM-R |
10.1 ± 0.3 |
8.3 ± 0.3 |
8.2 ± 0.3 |
7.5 ± 0.3 |
7.4 ± 0.3 |
||
|
NMC |
9.8 ± 0.4 |
7.2 ± 0.3 |
6.3 ± 0.2 |
5.8 ± 0.2 |
5.8 ± 0.3 |
||
|
NNC |
11.9 ± 0.4 |
9.0 ± 0.3 |
8.3 ± 0.3 |
7.7 ± 0.2 |
7.3 ± 0.3 |
||
|
|
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|
OVA.SNR [12] |
OVO.SVM-L |
9.8 ± 0.3 |
8.0 ± 0.3 |
8.1 ± 0.3 |
8.0 ± 0.3 |
7.4 ± 0.3 |
|
|
OVO.SVM-R |
10.2 ± 0.3 |
8.8 ± 0.3 |
7.6 ± 0.3 |
7.4 ± 0.3 |
7.2 ± 0.2 |
||
|
OVA.SVM-L |
9.6 ± 0.3 |
8.3 ± 0.3 |
7.9 ± 0.3 |
7.9 ± 0.3 |
7.9 ± 0.3 |
||
|
OVA.SVM-R |
10.0 ± 0.3 |
8.7 ± 0.3 |
8.1 ± 0.3 |
7.7 ± 0.3 |
7.2 ± 0.3 |
||
|
NMC |
9.5 ± 0.3 |
7.6 ± 0.3 |
6.7 ± 0.2 |
6.5 ± 0.2 |
6.1 ± 0.2 |
||
|
NNC |
11.9 ± 0.3 |
9.3 ± 0.3 |
7.8 ± 0.2 |
7.3 ± 0.2 |
7.4 ± 0.3 |
||
|
|
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|
ANOVA+Correlation [11] |
OVO.SVM-L |
6.9 ± 0.3 |
7.5 ± 0.3 |
7.4 ± 0.3 |
7.5 ± 0.3 |
7.7 ± 0.3 |
|
|
OVO.SVM-R |
7.6 ± 0.3 |
7.1 ± 0.3 |
6.4 ± 0.3 |
6.6 ± 0.2 |
6.7 ± 0.3 |
||
|
OVA.SVM-L |
7.1 ± 0.3 |
6.9 ± 0.3 |
7.1 ± 0.3 |
8.1 ± 0.3 |
7.8 ± 0.3 |
||
|
OVA.SVM-R |
7.9 ± 0.3 |
7.4 ± 0.3 |
7.1 ± 0.3 |
7.4 ± 0.3 |
6.7 ± 0.3 |
||
|
NMC |
7.8 ± 0.3 |
6.3 ± 0.3 |
5.7 ± 0.2 |
5.1 ± 0.2 |
5.3 ± 0.2 |
||
|
NNC |
9.8 ± 0.3 |
8.0 ± 0.3 |
7.5 ± 0.3 |
7.3 ± 0.3 |
6.7 ± 0.3 |
||
|
|
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|
Here m-fold corresponds to the case when m top most dominant genes are used for each class. For example, the column labeled 3-fold represents the results using 15 genes (3 dominant genes from each of the 5 classes) for both the CNS and Lung Cancer data sets. |
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|
Tsai et al. BMC Bioinformatics 2008 9:425 doi:10.1186/1471-2105-9-425 |
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