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Table 14 Results of the simulation study

From: Selection of optimal reference genes for normalization in quantitative RT-PCR

  

Sensitivity to optimal subset

Scenario

No of samples

UCL 1

Rank 2

Szabo 3

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

  1. 1Criterion (A) (minimum 95% upper confidence limit for standard deviation of the normalizing factor)
  2. 2Criterion (C) (minimum average rank of the normalizing factor variance)
  3. 3Minimum standard deviation of the normalizing factor variance as in Szabo et al [9]