Table 1

Analysis of general, unconstrained variance vs. nested, constrained variance models
Data
 Model*
 Genes
 s / gene**
 Mm
 Parameters
 BIC***
Townsend et al. (2003)
 AU
 4506
 5.2
 33312.6
 7
 -11147.1
Townsend et al. (2003)
 AC
 5759
 4.1
 21296.8
 4
 -4108.8
Townsend et al. (2003)
 AV
 5759
 4.8
 21365.8
 4
 -4039.8
Townsend et al. (2003)
 MU
 4506
 7.0
 33969.2
 7
 -10490.6
Townsend et al. (2003)
 MC
 5759
 5.7
 21469.2
 4
 -3936.4
Townsend et al. (2003)
 MV
 5759
 6.2
 21459.1
 4
 -3946.5
Sudarsanam et al. (2000)
 AU
 4756
 3.5
 19874.9
 5
 -1053.6
Sudarsanam et al. (2000)
 AC
 5888
 3.2
 16199.2
 3
 502.9
Sudarsanam et al. (2000)
 AV
 5888
 3.6
 16200.4
 3
 504.1
Sudarsanam et al. (2000)
 MU
 4756
 4.4
 20229.8
 5
 -698.7
Sudarsanam et al. (2000)
 MC
 5888
 4.1
 16494.4
 3
 798.0
Sudarsanam et al. (2000)
 MV
 5888
 4.7
 16370.7
 3
 674.3

* (A)dditive or (M)ultiplicative error, with (U)nconstrained variances, a common (C)oefficient of variation, or a common (V)ariance. ** seconds of processor time on a dual 1 GHz PowerPC G4 *** Bayesian Information Criterion

Townsend BMC Bioinformatics 2004 5:54   doi:10.1186/1471-2105-5-54