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Table 6 Bias and RMSE in brackets from 1000 simulated datasets (generated from [14] with θ h 2 equal to 1.3)

From: Clustering of time-course gene expression profiles using normal mixture models with autoregressive random effects

 

First component

Second component

Third component

Parameters

EM-W

Kim

EM-W

Kim

EM-W

Kim

p(0.585,

-0.009

0.001

-0.007

0.005

0.016

-0.001

0.1,0.315)

(0.013)

(0.010)

(0.012)

(0.011)

(0.020)

(0.013)

a0(0.3,

-0.002

-0.000

0.015

0.001

0.003

-0.000

1,0.2)

(0.023)

(0.023)

(0.024)

(0.019)

(0.016)

(0.016)

a1(0.03,

-0.005

-0.001

0.054

-0.000

0.003

0.000

1,0.02)

(0.071)

(0.074)

(0.0928)

(0.083)

(0.068)

(0.064)

b1(0.06,

0.015

-0.000

-0.131

0.001

0.020

0.000

0.9,0.01)

(0.036)

(0.036)

(0.135)

(0.045)

(0.041)

(0.043)

θ2(1.3,

-0.195

-0.000

-0.185

-0.003

-0.186

-0.002

1.3,1.3)

(0.196)

(0.016)

(0.192)

(0.049)

(0.189)

(0.025)

ρ(0.6

0.043

-0.000

0.037

-0.002

0.044

-0.001

0.6,0.6)

(0.043)

(0.007)

(0.042)

(0.022)

(0.045)

(0.010)

σ2(0.0,

0.144

 

0.131

 

0.143

 

0.0,0.0)

(0.145)

 

(0.133)

 

(0.144)

 

d2(0.,

0.000

 

0.000

 

0.001

 

0.,0.)

(0.000)

 

(0.001)

 

(0.001)

 
 

EM-W

Kim

Proportion

 

Mean (RMSE) SD

Mean (RMSE) SD

(EM-W is not worse)

Error rate

0.103 (0.104) 0.009

0.102 (0.103) 0.010

426/1000

Rand

0.864 (0.137) 0.012

0.866 (0.135) 0.012

360/1000

Adjusted

0.725 (0.276) 0.025

0.729 (0.272) 0.025

352/1000