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Figure 6 | BMC Bioinformatics

Figure 6

From: Effects of protein interaction data integration, representation and reliability on the use of network properties for drug target prediction

Figure 6

ROC curve for protein degree as a drug target predictor. Plot of False Positive Rate versus True Positive Rate for a degree rank of the full PIN and five subsets considered as containing higher-confidence interactions: non-predicted interactions include all interactions except those coming from orthologous transfer; LTP includes interactions with an lpr score < 22; MI-IntAct includes interactions with MI-IntAct scores > 0.6; MI-PSICQUIC includes interactions with MI-PSICQUIC scores > 0.7; and B includes the true binary interactions (i.e., potential spoke-represented n-ary data is removed). Theoretically perfect and random classifiers are shown in grey for reference (AUC = 1 and 0.5 respectively).

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BMC Bioinformatics

ISSN: 1471-2105

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