BMC Bioinformatics

Table 1 Posterior mean (SD) for various variance mixture models

From: A full Bayesian hierarchical mixture model for the variance of gene differential expression

Model	Bayesian Model		EM algorithm
	π_j	$\bar{σ}$ _j	π_j	$\bar{σ}$ _j
2 Classes
1	0.2276 (0.009)	0.7624 (0.008)	0.2286	0.7607
2	0.7724 (0.0085)	0.3426 (0.0024)	0.7713	0.3422
BIC	22911.89		22657.89
3 Classes
1	0.0677 (0.0039)	1.0220 (0.2627)	0.0688	1.0225
2	0.4462 (0.0170)	0.4977 (0.0077)	0.4546	0.4970
3	0.4860 (0.0182)	0.2841 (0.0035)	0.4766	0.2839
BIC	21819.82		21703.82
4 Classes
1	0.2303 (0.0146)	0.6125 (0.0129)	0.2317	0.6125
2	0.0384 (0.0045)	1.1547 (0.0321)	0.0370	1.1523
3	0.2318 (0.0218)	0.2413 (0.0053)	0.2285	0.2427
4	0.4994 (0.0201)	0.3775 (0.0161)	0.5028	0.3782
BIC	21727.75		21620.86

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ISSN: 1471-2105

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