Ming Li

NovoBoard: a comprehensive framework for evaluating the false discovery rate and accuracy of de novo peptide sequencing

NovoBoard evaluates de novo peptide sequencing methods using benchmark datasets and FDR estimation to assess accuracy and significance of peptide-spectrum matches.

Personalized deep learning of individual immunopeptidomes to identify neoantigens for cancer vaccines

The paper introduces a personalized deep learning workflow to identify neoantigens from mass spectrometry data, improving accuracy and discovery rates in melanoma patients.