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Fig. 2 | BMC Bioinformatics

Fig. 2

From: Time-resolved evaluation of compound repositioning predictions on a text-mined knowledge network

Fig. 2

5-fold cross validation results for SemMedDB network using DrugCentral gold standard. a) Receiver-Operator Characteristic curve displaying the mean result across 5-folds. Ten different seed values for randomly splitting indications in 5 are compared showing very little variation. b) Precision-Recall curve for the mean result across 5-folds, with ten different split seeds displayed. c) Histogram of log2 transformed rank of true positive disease for a given test-set positive drug, taken from a representative fold and seed of the cross-validation. If a drug treats multiple diseases, the ranks of all diseases treated in the test-set indications are shown. d) Histogram of log2 transformed rank of true positive drug for a given test-set disease, chosen from same fold and seed as C. If a disease is treated by multiple drugs in the test-set indications, all ranks are included. e) (left) Boxplot of 10 largest model coefficients in selected features across all folds and seeds. (right) Breakdown of metapath abbreviations. Node abbreviations appear in capital letters while edge abbreviations appear lower case

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