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Table 3 Accuracy of model selection under backward elimination, AIC and AICc. Letters in parentheses indicate the model codes formerly used by Yang and Swanson [4].

From: Methods for selecting fixed-effect models for heterogeneous codon evolution, with comments on their application to gene and genome data

  

Backward elimination

  

Model

Heterogeneous parameters

p = 0.05

p = 0.0001

AIC

AICc

1 (E)

κ, ω, c, π's

100%

96%

91.7%

91.7%

2 (D)

κ, ω, c

92%

100%

91.7%

100.0%

3

κ, ω, π's

61%

67%

38.9%

33.3%

4

κ, ω

94%

100%

77.8%

83.3%

5

κ, c, π's

88%

92%

62.5%

66.7%

6

κ, c

79%

100%

75.0%

75.0%

7

κ, π's

67%

67%

44.4%

44.4%

8

κ

83%

100%

55.6%

55.6%

9

ω, c, π's

71%

83%

58.3%

58.3%

10

ω, c

79%

96%

75.0%

75.0%

11

ω, π's

50%

67%

38.9%

38.9%

12

ω

89%

100%

66.7%

66.7%

13 (C)

c, π's

83%

88%

62.5%

58.3%

14 (B)

c

63%

88%

58.3%

58.3%

15

Ï€'s

56%

61%

38.9%

38.9%

16 (A)

none

83%

100%

38.9%

55.6%

overall

 

78%

88%

63%

64%