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. Author manuscript; available in PMC: 2016 May 15.
Published in final edited form as: Stat Appl Genet Mol Biol. 2013 Aug;12(4):469–487. doi: 10.1515/sagmb-2012-0051

Table 1.

BIC and ROC AUC results for joint model fits to simulated data. Compare to Supplementary Table 2.

(a) Mean (and standard error) of BIC for layered and chained fits to data generated from layered and chained topologies. Higher (less negative) values are preferred. The “difference” row shows the difference between BIC s for correct vs. incorrect fit topologies.
Layered gen. Chained gen.
Layered fit –145970.6 (21.9) –145429.8 (22.6)
Chained fit –145995.9 (21.9) –145414.3 (22.6)
Difference 25.3 (0.8) 15.5 (2.0)
(b) Mean (and standard error) of ROC AUC for layered and chained fits, joint fit selected by BIC, and marginal fits to data generated from layered and chained topologies. See also the first row of Figure 3.
Layered gen. Chained gen.
Layered fit 0.881 (0.0007) 0.854 (0.0009)
Chained fit 0.838 (0.0009) 0.877 (0.0008)
Selected fit 0.881 (0.0007) 0.875 (0.0009)
Binding only 0.727 (0.0010) 0.820 (0.0009)
Expression only 0.737 (0.0011) 0.753 (0.0010)
Conservation only 0.715 (0.0010) 0.671 (0.0009)
(c) Proportions of correct choices for layered and chained fits to data generated from the corresponding topologies (BIC, ROC AUC) and of the fit selected by BIC being best by ROC AUC (“conditional”).
BIC ROC AUC Conditional
Layered fit 0.997 1.000 0.917
Chained fit 0.910 0.993 0.989