BMC Bioinformatics

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

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ISSN: 1471-2105

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