Fig. 4: Prediction performance of example assays where data fusion successfully improves prediction accuracy.

Not all assays benefit from data fusion: see Fig. 3 for summary statistics of all assays. The plots are Receiver Operating Characteristic (ROC) curves and the area under the curve (AUROC) is reported for each modality with the corresponding color. A Four example assays from left to right: Cystic fibrosis transmembrane conductance regulator CFTR (cell-based), Ras selective lethality (cell-based), esBAF inhibitor (cell-based), SirT5 (biochemical). B Performance of predictors for the same assays when using combinations of profiling methods. C Table of AUROC scores of the four example assays (rows) according to predictors with individual and combined data modalities (columns). Numbers in bold are the highest AUROC scores for each assay (in a row). Abbreviations. CS: Chemical Structure, GE: Gene Expression, MO: Morphology.