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

2020 unpublished
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. Results
doi:10.21203/rs.2.15798/v3 fatcat:346an7o76vhf7knrcy5kgfj77q