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Table 9 The discriminating axes. The discriminating axes that accounted for the optimum accuracy in 1 to 3-feature model classifier.

From: Classification between normal and tumor tissues based on the pair-wise gene expression ratio

Order or classifier

Optimum Accuracy* / %

Discriminating axes

Order or classifier

Optimum Accuracy* / %

Discriminating axes

1

87.10%

#1659

1

93.55%

#1831/#1537

2

91.94%

(#241)&(#1659)

2

98.39%

(#753/#768) & (#1831/#1537)

3

95.16%

(#241)&(#1659)&(#1759)

3

98.39%

(#753/#768) & (#1831/#1537)&(#481/#1394)

Prostate cancer–Original expression data

Prostate cancer–Transformed expression data

Order or classifier

Optimum Accuracy* / %

Discriminating axes

Order or classifier

Optimum Accuracy* / %

Discriminating axes

1

86.27%

(#6185)

1

84.62%

(#6185/#5840)

2

100.00%

(#6185)&(#9850)

2

100.00%

(#6185/#5840)&(#6185/#6749)

3

100.00%

(#6185)&(#9850)&(#12148)

3

100.00%

(#6185/#5840)&(#6185/#6749)&(#7247/#7067)

  1. * : best accuracy based on the specified number of gene/gene ratio as discriminating axes ****Please do not delete from here on, needed for the correct order of reference list****** [32-54]