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Table 7 Simulation study 2, with nX=nY=30 and 100 runs

From: Identification of differentially expressed genes by means of outlier detection

B

DE

10f0

C i

\(\bar {n}_{i}\)

\(\overline {OR}\)

\(\overline {FP}\)

\(\overline {dFP}\)

\(\overline {FPC}\)

    

(sd)

(sd)

(sd)

(sd)

(sd)

   

\(C_{1}^{*}\)

27.9

160.4

6.6

8.1

32.0

    

(31.2)

(102.2)

(1.1)

(10.8)

(43.9)

 

5

9.1

C 2

92.1

10.1

9.0

24.1

100

    

(25.5)

(0.8)

(0.4)

(4.0)

(0)

   

C 3

82.5

7.8

9.4

41.6

100

    

(17.9)

(0.3)

(0.3)

(2.2)

(0)

   

\(C_{1}^{*}\)

20.0

233.0

0.0

0.0

0.0

    

(0.0)

(35.1)

(0.0)

(0.0)

(0)

1

20

9.1

C 2

96.5

10.4

9.0

22.0

100

    

(12.7)

(0.5)

(0.1)

(1.5)

(0)

   

C 3

90.1

7.7

9.2

41.1

100

    

(14.2)

(0.2)

(0.1)

(1.4)

(0)

   

\(C_{1}^{*}\)

100.0

209.5

0.0

0.0

0.0

    

(0.0)

(32.9)

(0.0)

(0.0)

(0)

 

100

8.9

C 2

73.7

10.8

9.1

20.7

100

    

(10.9)

(0.59)

(0.2)

(1.5)

(0)

   

C 3

69.1

8.2

9.2

37.5

100

    

(11.2)

(0.25)

(0.2)

(1.6)

(0)

   

\(C_{1}^{*}\)

9.9

119.7

1.0

0.2

0.0

    

(0.6)

(16.9)

(0.2)

(0.0)

(0.0)

 

10

9.1

C 2

102.2

10.5

9.0

22.1

99.9

    

(14.2)

(0.7)

(0.1)

(1.5)

(0.7)

   

C 3

94.2

7.7

9.2

41.7

100

    

(13.2)

(0.2)

(0.1)

(1.4)

(0.0)

   

\(C_{1}^{*}\)

40.0

118.6

0.0

0.0

0.0

    

(0.1)

(20.0)

(0.0)

(0.0)

(0.0)

2

40

9.1

C 2

97.0

10.3

9.1

22.2

100

    

(12.0)

(0.5)

(0.1)

(0.4)

(0.0)

   

C 3

87.4

7.7

9.2

41.2

100

    

(12.9)

(0.2)

(0.1)

(1.2)

(0.0)

   

\(C_{1}^{*}\)

115.9

120.1

0.0

0.0

0.0

    

(38.9)

(18.9)

(0.0)

(0.0)

(0.0)

 

200

8.6

\(C_{2}^{*}\)

95.3

72.7

1.6

3.7

16.7

    

(15.5)

(31.3)

(3.5)

(8.2)

(37.8)

   

C 3

118.5

8.9

9.3

31.2

100

    

(28.3)

(0.5)

(0.1)

(3.2)

(0.0)

   

\(C_{1}^{*}\)

14.6

86.2

0.26

0.09

0.0

    

(1.14)

(14.1)

(0.31)

(0.11)

(0)

 

15

9.0

C 2

103.9

9.0

8.4

22.1

99.6

    

(11.8)

(0.13)

(0.48)

(1.5)

(1.1)

   

C 3

92.8

7.2

9.2

41.6

100

    

(10.7)

(0.77)

(0.13)

(1.4)

(0.0)

   

\(C_{1}^{*}\)

59.9

81.2

0.03

0.03

0.0

    

(0.29)

(12.1)

(0.07)

(0.06)

(0)

3

60

8.9

C 2

93.8

10.3

9.1

22.3

99.9

    

(12.3)

(0.43)

(0.13)

(1.4)

(0.3)

   

C 3

87.2

7.7

9.2

41.3

100

    

(11.4)

(0.16)

(0.13)

(1.3)

(0.0)

   

\(C_{1}^{*}\)

142.4

81.0

0.00

0.00

0.0

    

(31.0)

(13.7)

(0.00)

(0.00)

(0)

 

300

8.4

\(C_{2}^{*}\)

157.5

54.6

0.03

0.04

0.0

    

(31.0)

(11.1)

(0.06)

(0.09)

(0)

   

C 3

119.2

8.9

9.4

30.3

99.9

    

(11.4)

(0.28)

(0.10)

(0.96)

(0.02)

  1. Evaluation of the second step of the ORdensity method with α=0.05. In the first column number of blocks. In column 2, the number of total simulated DE genes. In column 3, the 10×f0 values where f0 is the average proportion of permuted cases in sets Ui. In column 4, the “*” indicates the clusters considered by the procedure. Columns 5–8 contain for each cluster: the mean number of genes (\(\bar {n}_{i}\)), the mean of OR values (\(\overline {OR}\)), the mean of FP values (\(\overline {FP}\)), the mean of dFP values (\(\overline {dFP}\)). In the last column the mean of False Positives genes per cluster in % (\(\overline {FPC}\)). Corresponding standard deviations are in brackets