Toolbox Advanced Technologies for Antigen Identification

This collection is part of the Cancer Immunology Research editors' "Toolbox" series, which highlights interesting platforms, methodologies, and prediction models published in the journal. In this collection, we have included articles that utilize machine learning algorithms and high-throughput advanced technologies alongside bioinformatics to improve prediction modeling and identification of neoantigens and the peptide-MHC targets of candidate TCR-based therapeutics. We hope you enjoy this collection!