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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