Table 1 Summary of Bayesian information criterion (BIC), Akaike information criterion (AIC) and means square error (MSE) by number of groups for the mellifera and ligustica data sets.
From: Semiparametric approach to characterize unique gene expression trajectories across time
Data set | ||||||
|---|---|---|---|---|---|---|
| Â | mellifera | ligustica | ||||
Groups | BIC | AIC | MSE | BIC | AIC | MSE |
5 | -3103.31 | -3049.92 | 0.586 | -3065.63 | -3012.24 | 0.586 |
6 | -2964.67 | -2900.60 | 0.526 | -2961.00 | -2896.94 | 0.526 |
7 | -2894.63 | -2819.89 | 0.493 | -2902.09 | -2827.35 | 0.493 |
8 | -2843.36 | -2757.94 | 0.466 | -2766.41 | -2851.83 | 0.466 |
9 | -2727.89 | -2633.44 | 0.432 | -2737.53 | -2641.43 | 0.443 |
10 | -2637.40 | -2530.63 | 0.409 | -2665.38 | -2558.61 | 0.416 |
11 | -2668.76 | -2551.31 | 0.403 | -2679.47 | -2562.02 | 0.406 |