Machine learning analysis of the T cell receptor repertoire identifies sequence features that predict self-reactivity
J. Textor, F. Buytenhuijs, D. Rogers…·J. N. Mandl
The paper uses machine learning to identify TCR sequence features predicting self-reactivity, finding that n-nucleotide additions and acidic amino acids reduce self-reactivity.