Detection of neoepitopes from tumours is time consuming and requires the integration of genomic and/or RNA sequencing expression data. Here, the authors propose a machine learning method to enable direct identification of additional, tumour-specific sequences using mass spectrometry through integration of de novo peptide sequencing scores, MHC class I binding prediction, and peptide retention time prediction.
- Hanqing Liao
- Carolina Barra
- Nicola Ternette
