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Table 2 The effect of choice of gene level statistic and of a corresponding transformation on the detection rate.

From: A general modular framework for gene set enrichment analysis

 

no transformation

squared

rank squared

 

t

mod.t

corr

t

mod.t

corr

t

mod.t

corr

set 1

0.94

0.94

0.94

0.63

0.67

0.74

0.84

0.84

0.84

set 2

1.00

1.00

1.00

0.90

0.92

0.95

1.00

1.00

1.00

set 3

0.00

0.00

0.00

0.00

0.01

0.01

0.01

0.01

0.01

set 4

0.79

0.81

0.83

0.40

0.44

0.50

0.54

0.54

0.54

set 5

0.95

0.96

0.95

0.34

0.41

0.44

0.38

0.41

0.38

set 6

0.00

0.00

0.00

0.86

0.85

0.88

0.95

0.96

0.95

set 7

0.01

0.01

0.00

0.99

1.00

1.00

1.00

1.00

1.00

set 8

0.00

0.00

0.00

0.70

0.70

0.75

0.74

0.75

0.74

set 9

0.00

0.01

0.00

0.81

0.90

0.89

0.80

0.82

0.80

  

binary

local fdr

  
  

t

mod.t

corr

t

mod.t

corr

  
 

set 1

0.62

0.61

0.55

0.49

0.48

0.46

  
 

set 2

0.81

0.87

0.73

0.77

0.78

0.71

  
 

set 3

0.01

0.00

0.01

0.00

0.00

0.00

  
 

set 4

0.38

0.44

0.34

0.32

0.36

0.32

  
 

set 5

0.27

0.33

0.20

0.23

0.26

0.20

  
 

set 6

0.83

0.85

0.76

0.71

0.66

0.69

  
 

set 7

1.00

1.00

0.99

0.99

0.99

0.95

  
 

set 8

0.63

0.66

0.58

0.61

0.60

0.55

  
 

set 9

0.71

0.73

0.65

0.74

0.75

0.66

  
  1. The values indicated are the proportion of significantly enriched gene sets (p-values ≤ 0.05) for various combinations of test statistics and their transformations, with fixed global statistic (= mean) and the use of resampling for computing the significance.