Supplementary Information Predictive regulatory models in Drosophila melanogaster by integrative inference of transcriptional networks

S1 Fraction of integrative network edges with and without physical support . . . . . 4 S2 Degree distributions of integrative networks . . . . . . . . . . . . . . . . . . . . . 5 S3 Structural properties of integrative networks . . . . . . . . . . . . . . . . . . . . . 6 S4 Network motifs of integrative networks . . . . . . . . . . . . . . . . . . . . . . . . 7 S5 Prediction of novel functional annotations . . . . . . . . . . . . . . . . . . . . . . 8 S6 Expression prediction for eight representative target genes . . . . . . . . . . . . . 9 S7 Squared errors for expression prediction using integrative and physical networks . 10 S8 Correlation of predictable and unpredictable genes across two time courses . . . . 11 S9 Definition of chromatin profiles . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12 S10 Relative importance of input features for the unsupervised integrative network . 13