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Table 5 Bias and RMSE in brackets from 1000 simulated datasets (generated from [14] with θ h 2 equal to 0.5)

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, -0.003 0.000 -0.008 0.001 0.010 -0.000
0.1,0.315) (0.004) (0.003) (0.023) (0.003) (0.024) (0.004)
a0(0.3, 0.002 0.000 0.003 0.001 0.001 0.001
1,0.2) (0.013) (0.013) (0.010) (0.010) (0.010) (0.010)
a1(0.03, 0.015 0.001 -0.236 -0.002 0.047 0.003
1,0.02) (0.041) (0.036) (0.333) (0.037) (0.073) (0.035)
b1(0.06, 0.014 -0.000 -0.308 -0.001 0.058 0.001
0.9,0.01) (0.026) (0.021) (0.345) (0.023) (0.067) (0.025)
θ2(0.5, -0.034 -0.000 -0.006 -0.001 -0.021 -0.000
0.5,0.5) (0.036) (0.006) (0.027) (0.015) (0.025) (0.009)
ρ(0.6 0.020 -0.000 0.013 -0.001 0.023 -0.001
0.6,0.6) (0.021) (0.007) (0.025) (0.017) (0.028) (0.009)
σ2(0.0, 0.025   0.014   0.022  
0.0,0.0) (0.026)   (0.015)   (0.023)  
d2(0, 0.000   0.045   0.042  
0,0) (0.000)   (0.095)   (0.056)  
  EM-W Kim Proportion
  Mean (RMSE) SD Mean (RMSE) SD (EM-W is not worse)
Error rate 0.018 (0.019) 0.006 0.016 (0.017) 0.004 422/1000
Rand 0.978 (0.023) 0.006 0.980 (0.021) 0.005 365/1000
Adjusted 0.955 (0.046) 0.012 0.959 (0.042) 0.011 363/1000