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Table 2 False positives for hybridization network 7 using the counting filter to select the 8 highest weight splits.

From: Using supernetworks to distinguish hybridization from lineage-sorting

  

Q-imputation

 

Z-closure

  

m = 0

m = 1

m = 2

m = 3

 

m = 0

m = 1

m = 2

m = 3

b = ∞

g = 5

0

0.2

0.64

2.18

g = 5

0

0.23

0.56

0.66

 

g = 10

0

0.07

0.33

1.25

g = 10

0

0.17

0.56

1.26

 

g = 15

0

0.08

0.25

0.86

g = 15

0

0.12

0.49

0.98

 

g = 20

0

0.01

0.18

0.47

g = 20

0

0.04

0.29

0.76

  

m = 0

m = 1

m = 2

m = 3

 

m = 0

m = 1

m = 2

m = 3

b = 1

g = 5

1.62

2.05

2.29

3.38

g = 5

1.61

1.97

2.25

2.25

 

g = 10

0.68

1.44

1.98

2.69

g = 10

0.67

1.37

1.96

2.6

 

g = 15

0.34

0.97

1.37

2

g = 15

0.33

0.84

1.43

2.1

 

g = 20

0.18

0.74

1.05

1.93

g = 20

0.18

0.68

1.12

2.01

  

m = 0

m = 1

m = 2

m = 3

 

m = 0

m = 1

m = 2

m = 3

b = 0.5

g = 5

2.85

3.24

3.74

4.56

g = 5

2.79

3.04

3.71

3.78

 

g = 10

1.73

2.25

2.68

3.76

g = 10

1.71

2.18

2.64

3.56

 

g = 15

1.3

1.67

2.24

3.28

g = 15

1.31

1.65

2.35

3.16

 

g = 20

0.94

1.43

2.12

2.57

g = 20

0.95

1.33

2.05

2.54