10.6084/m9.figshare.c.3630017_D7.v1 Hsiao-Rong Chen Hsiao-Rong Chen David Sherr David Sherr Zhenjun Hu Zhenjun Hu Charles DeLisi Charles DeLisi Additional file 3: Figure S1. of A network based approach to drug repositioning identifies plausible candidates for breast cancer and prostate cancer Springer Nature 2016 Computational drug repositioning Drug screening Cancer treatment 2016-07-30 05:00:00 Presentation https://springernature.figshare.com/articles/presentation/Additional_file_3_Figure_S1_of_A_network_based_approach_to_drug_repositioning_identifies_plausible_candidates_for_breast_cancer_and_prostate_cancer/4420955 An example of mutual predictability score computation. For ROC curve M-D (sensitivity plotted against 1-specificity), sensitivity and 1 – specificity are defined as follows: sensitivity = TP / (TP + FN), 1 - specificity = FP / (TN + FP), where TP is the number of DRG genes above a particular Si cutoff, TN is the number of genes associated with neither disease below the cutoff, FP is the number of genes associated with neither disease above the cutoff, and FN is the number of DRG genes below the cutoff. ROC curve D-M was plotted in the same way. The MP score (0.73) is defined as the geometric mean of area under the ROC M-D and ROC D-M curves: AUC M-D (0.81) and AUCD-M (0.65). (PPTX 299 kb)