On the relevance of technical variation due to building pools in microarray experiments

BMC Genomics

Table 4 Mean estimated variance components

Mean estimated	Experimental data set/model used
variance	Mouse		Rat		Bee		Human
component	m1	m2	m1	m2	m1	m2	m1	m2
\({\sigma _{e}^{2}}\)	0.037	0.017	0.010	0.009	0.104	0.035	0.062	0.060
\({\sigma _{1}^{2}}\)	0.109	0.109	0.024	0.024	0.031	0.033	0.105	0.055
\({\sigma _{2}^{2}}\)	-	0.295	-	0.011	-	0.215	-	0.155

Estimated variance components for residuals (\({\sigma _{e}^{2}}\)), biological effects (\({\sigma _{1}^{2}}\)), and imperfect blending (\({\sigma _{2}^{2}}\)) - averaged over all analyzed transcripts for the null model (m1) and the full model (m2)

ISSN: 1471-2164