Skip to main content

Table 2 Site-specific ExpCM are vastly better than GY94 or ExpCM with preferences averaged or randomized across sites

From: Identification of positive selection in genes is greatly improved by using experimentally informed site-specific models

Gene

Model

ΔAIC

Log likelihood

# free parameters: values of selection parameters

Gal4

ExpCM

0

–1048

6: β=0.82, ω=0.13

 

GY94 M3

129

–1103

15: ω 1=0.01, ω 2=0.11, ω 3=0.49, p 1=0.50, p 2=0.29

 

GY94 M0

192

–1139

11: ω=0.06

 

averaged ExpCM

196

–1146

6: β=1.07, ω=0.06

 

randomized ExpCM

206

–1151

6: β=0.10, ω=0.07

β-lactamase

ExpCM

0

–3421

6: β=1.01, ω=1.02

 

ExpCM (Firnberg data)

204

–3523

6: β=1.04, ω=0.65

 

GY94 M3

564

–3694

15: ω 1=0.07, ω 2=0.55, ω 3=6.24, p 1=0.69, p 2=0.17

 

GY94 M0

765

–3798

11: ω=0.34

 

averaged ExpCM

766

–3804

6: β=0.77, ω=0.35

 

randomized ExpCM

790

–3816

6: β=0.10, ω=0.34

NP

ExpCM

0

–8624

6: β=2.43, ω=0.61

 

GY94 M3

2175

–9703

15: ω 1=0.00, ω 2=0.16, ω 3=1.31, p 1=0.59, p 2=0.24

 

averaged ExpCM

2584

–9916

6: β=0.43, ω=0.11

 

randomized ExpCM

2593

–9921

6: β=0.10, ω=0.11

 

GY94 M0

2613

–9926

11: ω=0.11

HA

ExpCM

0

–7461

6: β=1.61, ω=0.60

 

GY94 M3

1782

–8343

15: ω 1=0.02, ω 2=4.26, ω 3=4.94, p 1=0.59, p 2=0.25

 

averaged ExpCM

2137

–8530

6: β=0.42, ω=0.23

 

randomized ExpCM

2157

–8539

6: β=0.10, ω=0.23

 

GY94 M0

2176

–8544

11: ω=0.22