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Table 2 Dimension reduction results from random forest and boosting

From: Ensemble methods of rank-based trees for single sample classification with gene expression profiles

 

Random Rank Forest

Boosting

# of genesa

# of Gene pairsb

# of genes

# of gene pairs

Meanc

SDc

Mean

SD

Mean

SD

Mean

SD

Liver

84.98

0.14

728.78

36.37

70.02

13.03

159.28

48.74

CNS

89.60

3.27

207.18

18.86

40.82

10.51

1.54

3.68

Glioblastoma

167.94

11.61

192.86

16.41

53.34

37.35

45.66

42.36

Prostate

253.46

10.90

622.16

44.49

126.46

62.02

112.44

65.86

NHL

200.56

12.09

200.80

20.51

53.78

50.04

19.54

27.68

Breast

231.18

15.02

256.22

25.39

50.08

35.36

33.74

35.75

SRBCTs

461.50

16.52

501.48

15.54

206.77

92.36

282.57

121.13

Leukemia

327.90

18.24

316.14

23.91

109.88

49.24

117.00

49.49

Lung

588.84

20.05

971.28

38.90

685.8

164.56

920.22

131.11

Bladder

342.88

15.18

421.02

19.29

91.84

52.94

76.90

46.89

ALL

1782.52

25.62

2923.06

59.08

379.68

104.62

407.97

150.75

TNBC

49.00

0.00

1021.98

7.79

49.00

0.00

427.84

41.63

  1. aTotal number of selected genes from Line 3 in Algorithm 2
  2. bTotal number of selected gene pairs from Line 9 in Algorithm 2
  3. cMean and standard deviation (SD) were calculated from 50 replications