Author: Noh, Heeju; Shoemaker, Jason E; Gunawan, Rudiyanto
Title: Network perturbation analysis of gene transcriptional profiles reveals protein targets and mechanism of action of drugs and influenza A viral infection Document date: 2018_4_6
ID: j80hnhpb_36
Snippet: For comparing the performance of different methods, we computed the area under the receiver operating characteristic curve (AUROC), i.e. the area under the plot of true positive rate against false positive rate, following the procedure adopted in DREAM challenges (40, 41) . For each method and each drug treatment, we generated a ranked list of protein targets according to decreasing magnitudes of the protein scores in ProTINA, increasing P-values.....
Document: For comparing the performance of different methods, we computed the area under the receiver operating characteristic curve (AUROC), i.e. the area under the plot of true positive rate against false positive rate, following the procedure adopted in DREAM challenges (40, 41) . For each method and each drug treatment, we generated a ranked list of protein targets according to decreasing magnitudes of the protein scores in ProTINA, increasing P-values of network dysregulation from DeMAND, and decreasing magnitudes of log 2 FC gene expression from DE analysis.
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