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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]