Machine Learning of Personal Repertoires From Public T Cell Receptors
This review takes public TCR sequences as its protagonist and traces the family of computational methods that exploit public sequences as features: frequency vectors, sequence‐similarity networks, self‐supervised transformer embeddings, and the own anchor‐based graph neural networks (GraffiTee).