Given the promise of DEL screens for high throughput testing of ideas for drug discovery, the refinement of subsequent DEL screens to minimize cost and maximize the hit rate can improve outcomes in drug discovery. While the ability to gather a vast variety of data in a DEL screen is an experimental advantage, the volume of data poses challenges for interpretation. Improved computational methods are pertinent to aid the experimental workflow.