Skip to main content

Table 2 The mean and the Standard deviation of the 10-fold cross-validation error (in percentage) for the different approaches and the cDNA platform datasets employed in the study.

From: A comparison of univariate and multivariate gene selection techniques for classification of cancer datasets

Method

DLBCL

HNSCC

Breast

gene selection

mean ± std

mean ± std

mean ± std

U, SNR, NMC

2.5 ± 2.5 *

21.2 ± 7.1 *

33.0 ± 3.4 *

U, SNR, FLD

15.8 ± 6.4

33.3 ± 6.6

29.9 ± 3.6 *

U, t-test, NMC

2.5 ± 2.5 *

21.2 ± 7.3 *

33.5 ± 3.8 *

U, t-test, FLD

15.8 ± 6.4

36.2 ± 6.2

32.6 ± 3.0 *

BP greedy, FLD

10.0 ± 4.3

36.2 ± 7.0

35.8 ± 2.3

FS, FLD

10.8 ± 3.7

45.4 ± 8.5

35.4 ± 4.2

RFE, FLD

16.7 ± 5.3

35.0 ± 6.3

33.8 ± 3.5

RFE, SVM

15.8 ± 5.2

35.4 ± 7.2

32.6 ± 3.2 *

Liknon

13.3 ± 5.3

37.5 ± 7.4

34.5 ± 5.2

TSP

27.5 ± 2.8

37.6 ± 6.0

49.9 ± 4.6

no gene selection

mean ± std

mean ± std

mean ± std

NMC

6.7 ± 3.5

29.2 ± 7.2

36.7 ± 3.2

FLD

14.2 ± 5.4

32.5 ± 6.6

35.8 ± 4.1

SVM

9.2 ± 3.8

29.6 ± 5.7

34.3 ± 4.2