BMC Bioinformatics

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

Back to article page

ISSN: 1471-2105

Contact us

General enquiries: journalsubmissions@springernature.com