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Table 1 Results under different scenarios

From: Predicting viral exposure response from modeling the changes of co-expression networks using time series gene expression data

 

ρ=0.1

ρ=0.3

ρ=0.5

Set index

1

2

3

4

1

2

3

4

1

2

|b|

0.13(0.05)

0.26(0.06)

0.13(0.05)

0.04(0.06)

0.07(0.02)

0.23(0.05)

0.07(0.02)

0.11(0.05)

0.06(0.01)

0.20(0.03)

CHP

15.21(0.62)

20.85(12.43)

24.58(3.70)

19.84(8.89)

15.05(0.22)

20.00(0.00)

24.97(0.17)

19.68(4.02)

15.06(0.28)

20.00(0.00)

P-value

0.00

0.09

0.00

7.13 ×10−3

0.00

0.00

0.00

9.59 ×10−4

0.00

0.00

CHP(%) §

0.88

0.11

0.73

0.47

0.95

1.00

0.97

0.73

0.95

1.00

AUC

0.58(0.06)

   

0.60(0.06)

   

0.65(0.08)

 
 

ρ=0.5

ρ=0.7

ρ=0.9

Set index

3

4

1

2

3

4

1

2

3

4

|b|

0.05(0.01)

0.11(0.05)

0.04(0.01)

0.19(0.02)

0.04(0.01)

0.12(0.04)

0.04(0.01)

0.17(0.01)

0.03(0.01)

0.12(0.03)

CHP

24.91(0.29)

19.85(1.77)

15.03(0.17)

20.00(0.00)

24.95(0.22)

19.67(2.36)

15.03(0.17)

20.00(0.00)

24.97(0.17)

20.30(0.32)

P-value

0.00

8.78 ×10−4

0.00

0.00

0.00

0.00

0.00

0.00

0.00

6.32 ×10−4

CHP(%)

0.91

0.88

0.97

1.00

0.95

0.90

0.97

1.00

0.97

0.92

AUC

  

0.71(0.08)

   

0.90(0.07)

   
  1. The standard deviations are in the parentheses.
  2. CHP (Change Point Position) is the average value over 100 replications for the estimation of change-point position.
  3. When P-value is less than 10−10, we set it to 0.00.
  4. §CHP(%) represents the proportion of times the change point is precisely detected over 100 simulations.