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Table 1 Results on cancer gene expression data

From: On reliable discovery of molecular signatures

Data set (ref.)

n

MCF,%

CV,%

TA,%(ref.)

BS

BS0

RFE

RFE0

DE

Golub (2)

72

32

97.0 ± 4.2

99.3 (28)

537

0

35

154

1007

Singh (4)

136

43

92.6 ± 3.0

81.1 (27)

99

0

48

312

3807

Alon (1)

62

35

81 ± 7.2

97.9 (29)

19

0

55

94

303

Wang (6)

286

37

65 ± 4.3

N/A

0

0

261

1250

106

van't Veer (5)

97

47

62 ± 8.4

N/A

0

0

42

153

1

  1. Results are ordered by prediction accuracy. n, number of samples; MCF, minority class frequency; CVA, balanced cross-validated prediction accuracy, mean ± std.dev.; TA, balanced prediction accuracy of bootstrap signature on an independent test set (reference given in parentheses); BS, significant genes using the bootstrap with SVM at 5% FDR; RFE, genes chosen by recursive feature elimination; BS0 and RFE0, gene chosen by the bootstrap and RFE methods respectively on randomized data. DE, differentially expressed genes using the t-test at 5% FDR.