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Machine learning prediction of oncology drug targets based on protein and network properties

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The selection and prioritization of drug targets is a central problem in drug discovery. Computational approaches can leverage the growing number of large-scale human genomics and proteomics data to make insilico target identification, reducing the cost and the time needed. |

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