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)