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Figure 2 | BMC Bioinformatics

Figure 2

From: Exploiting large-scale drug-protein interaction information for computational drug repurposing

Figure 2

Three machine learning approaches for developing data-driven drug repurposing models. The total number of drugs and drug development candidates with drug-protein interaction profiles is 4,902. m denotes the number of drugs with a desirable therapeutic effect (positive class), n represents a subset of m used as the positive class of the training set for model development, and k denotes the number of drugs that do not have a desired therapeutic effect but can be used as false positives (FP) for the purpose of model development. TP: true positive.

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