Fig. 3.

Comparison of models ${\mathcal{ℳ}}_{-}^{\mathrm{C}}$ and ${\mathcal{ℳ}}_{\text{BA}}^{\mathrm{C}}$. a Mean classification performance and standard error of the two models ${\mathcal{ℳ}}_{-}^{\mathrm{C}}$ and ${\mathcal{ℳ}}_{\text{BA}}^{\mathrm{C}}$ quantified by the area under the receiver operating characteristic curve. We find for each of the five data sets a significantly increased classification performance for ${\mathcal{ℳ}}_{\text{BA}}^{\mathrm{C}}$ compared to ${\mathcal{ℳ}}_{-}^{\mathrm{C}}$. Examples for ROC curves are shown in Additional file 1: Figure S10, Figure S11, Figure S12, Figure S13, Figure S14 and Figure S15. b Mean information content and standard error of the motifs predicted by the two models ${\mathcal{ℳ}}_{-}^{\mathrm{C}}$ and ${\mathcal{ℳ}}_{\text{BA}}^{\mathrm{C}}$. We find for each of the five data sets a significantly decreased information content in motifs predicted by ${\mathcal{ℳ}}_{\text{BA}}^{\mathrm{C}}$ compared to ${\mathcal{ℳ}}_{-}^{\mathrm{C}}$ (p<4.0×10⁻¹⁸)