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Table 3 Bias and RMSE in brackets from 1000 simlated datasets (generated from new EMMIX-WIRE (EM-W) model with θ h 2 equal to 0.5 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 0.008 -0.001 -0.003 -0.001 -0.005
0.1,0.315) (0.009) (0.012) (0.008) (0.008) (0.010) (0.011)
a0(0.3, 0.001 0.008 -0.001 -0.018 0.003 -0.014
1,0.2) (0.017) (0.019) (0.018) (0.026) (0.016) (0.016)
a1(0.03, -0.002 -0.023 -0.001 -0.005 0.003 -0.006
1,0.02) (0.049) (0.060) (0.059) (0.062) (0.049) (0.049)
b1(0.06, -0.001 -0.014 0.016 0.019 0.002 0.004
0.9,0.01) (0.026) (0.031) (0.033) (0.038) (0.032) (0.033)
θ2(0.5, 0.071 1.162 0.081 1.158 0.078 1.159
0.5,0.5) (0.081) (1.162) (0.119) (1.160) (0.090) (1.159)
ρ(0.6 -0.032 -0.337 -0.037 -0.339 -0.036 -0.339
0.6,0.6) (0.038) (0.337) (0.062) (0.340) (0.045) (0.340)
σ2(1.0, -0.059   -0.069   -0.064  
1.0,1.0) (0.068)   (0.106)   (0.077)  
d2(0, 0   0.001   0.000  
0,0) (0.000)   (0.001)   (0.001)  
  EM-W Kim Proportion
  Mean (RMSE) SD Mean (RMSE) SD (EM-W is better)
Error rate 0.078 (0.078) 0.008 0.081 (0.081) 0.009 738/1000
Rand 0.891 (0.110) 0.012 0.886 (0.115) 0.012 806/1000
Adjusted 0.780 (0.222) 0.023 0.769 (0.232) 0.025 802/1000