Systematically benchmarking peptide-MHC binding predictors: From synthetic to naturally processed epitopes
Providing comprehensive benchmarking of existing algorithms on blind testing dataset is important for recognizing the pros and cons of different algorithms and providing guidelines on specific applications. Zhao et al. present a study of such benchmarking by characterizing on a wide array of accuracy metrics, highlighting the best-in-class algorithms as well as their limitations.
Image credit: Zhao et al.