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Fig. 4 | BMC Bioinformatics

Fig. 4

From: Empowering the discovery of novel target-disease associations via machine learning approaches in the open targets platform

Fig. 4

Newly computed features improve prediction accuracy. Prediction scores correspond to Testing set target-disease clinical trial stage (a). Feature importance scores indicate the feature types we generated strongly predict known drug therapeutic status (b). Target-disease arrays computed using target-target similarity reveal druggable target-disease pairs (c). Significant overlap between predicted indications and literature findings by text mining (d)

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