Mohammad Khalilpour

Shedding light on neural learning to rank models for anticancer drug prioritization

Learning to Rank (LeToR) methods have gained increasing attention in drug response prediction, offering a direct way to prioritize effective treatments for cancer cell lines. In this study, we systematically benchmark six ranking loss functions, including state-of-the-art listwis...