Table 14

Results of the simulation study

Sensitivity to optimal subset


Scenario

No of samples

UCL1

Rank2

Szabo3


Uncorrelated R

25

43.00

41.75

60.25

Sample Random

40

53.50

53.25

73.50

Effect Var = 0.16

80

81.25

81.50

86.25


All Corr Coef = 0.2

25

34.25

36.50

38.75

Sample Random

40

53.25

55.25

46.25

Effect Var = 0.02

80

75.75

74.50

57.25


Corr Coef = ±0.2

25

48.50

55.00

0.00

Sample Random

40

68.00

72.75

0.25

Effect Var = 0.1

80

91.50

93.50

0.00


Corr Coef = ±0.4

25

36.50

31.50

8.50

Sample Random

40

49.25

42.75

7.25

Effect Var = 0.16

80

63.50

60.25

3.75


All Corr Coef = 0.4

25

37.5

40.8

23.3

Sample Random

40

49.8

51.3

21.0

Effect Var = 0.1

80

68.0

71.5

21.3


1Criterion (A) (minimum 95% upper confidence limit for standard deviation of the normalizing factor)

2Criterion (C) (minimum average rank of the normalizing factor variance)

3Minimum standard deviation of the normalizing factor variance as in Szabo et al [9]

Chervoneva et al. BMC Bioinformatics 2010 11:253   doi:10.1186/1471-2105-11-253

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