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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 in-silico target identification, reducing the cost and the time needed. Resultsdoi:10.21203/rs.2.15798/v3 fatcat:346an7o76vhf7knrcy5kgfj77q