On generative models of T-cell receptor sequences
G. Isacchini, Z. Sethna, Y. Elhanati, A. Nourmohammad, A. M. Walczak, T. Mora
This study compares two models for predicting TCR sequence probabilities, finding that a knowledge-guided approach outperforms a deep learning model in accuracy, interpretability, and efficiency.
bioRxiv · Mar 14, 2020Immunology