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Table 4 Pearson correlations for R 1 ( 1 )

From: Bayesian probabilistic network modeling from multiple independent replicates

 

p 1 ( 1 )

p 2 ( 1 )

p 3 ( 1 )

p 4 ( 1 )

p 5 ( 1 )

p 6 ( 1 )

p 7 ( 1 )

p 8 ( 1 )

p 9 ( 1 )

p 10 ( 1 )

p 11 ( 1 )

p 1 ( 1 )

0.94

1.00

         

p 2 ( 1 )

0.82

0.92

1.00

        

p 3 ( 1 )

0.16

0.14

0.31

1.00

       

p 4 ( 1 )

0.18

0.22

0.39

0.90

1.00

      

p 5 ( 1 )

0.07

0.19

0.31

0.78

0.86

1.00

     

p 6 ( 1 )

0.55

0.64

0.61

-0.06

-0.18

-0.09

1.00

    

p 7 ( 1 )

0.51

0.61

0.62

-0.05

-0.16

-0.12

0.98

1.00

   

p 8 ( 1 )

0.54

0.64

0.69

0.03

-0.07

-0.01

0.97

0.97

1.00

  

p 9 ( 1 )

-0.20

-0.18

-0.08

-0.09

0.00

0.12

0.02

-0.02

0.01

1.00

 

p 10 ( 1 )

-0.11

0.08

-0.02

-0.16

-0.06

0.08

0.17

0.10

0.13

0.97

1.00

p 11 ( 1 )

-0.06

0.01

0.15

-0.01

0.09

0.22

0.26

0.21

0.27

0.95

0.95

  1. Sample Pearson correlations for R 1 ( 1 ) .