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Table 4 Bias and RMSE in brackets from 100 simulated datasets (generated from new EMMIX-WIRE (EM-W) model with θ h 2 equal to 1.3 and d 2 equal to 0)

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,

-0.001

0.024

0.002

-0.005

-0.001

-0.019

0.1,0.315)

(0.014)

(0.029)

(0.016)

(0.017)

(0.017)

(0.026)

a0(0.3,

-0.001

0.018

0.003

-0.046

0.000

-0.005

1,0.2)

(0.027)

(0.035)

(0.026)

(0.053)

(0.021)

(0.021)

a1(0.03,

0.001

-0.068

0.005

-0.041

0.001

0.008

1,0.02)

(0.085)

(0.146)

(0.108)

(0.127)

(0.086)

(0.085)

b1(0.06,

0.003

-0.031

0.005

0.047

0.002

0.004

0.9,0.01)

(0.042)

(0.063)

(0.054)

(0.072)

(0.050)

(0.054)

θ2(1.3,

-0.059

1.254

-0.076

1.251

-0.052

1.242

1.3,1.3)

(0.087)

(1.254)

(0.178)

(1.257)

(0.104)

(1.243)

ρ(0.6

0.012

-0.198

-0.013

-0.201

0.009

-0.203

0.6,0.6)

(0.019)

(0.199)

(0.039)

(0.206)

(0.023)

(0.204)

σ2(1.0,

0.046

 

0.056

 

0.039

 

1.0,1.0)

(0.070)

 

(0.145)

 

(0.084)

 

d2(0.,

0.000

 

0.001

 

0.000

 

0.,0.)

(0.000)

 

(0.001)

 

(0.000)

 
 

EM-W

Kim

Proportion

 

Mean (RMSE) SD

Mean (RMSE) SD

(EM-W is better)

Error rate

0.154 (0.154) 0.011

0.161 (0.162) 0.012

835/1000

Rand

0.796 (0.204) 0.014

0.783 (0.217) 0.016

912/1000

Adjusted

0.590 (0.411) 0.028

0.566 (0.435) 0.031

896/1000