Abstract

Predicting whether T cell receptors bind to specific peptides is a challenging problem because most binding examples in the training data involve only a few peptides. A new approach uses meta-learning to improve predictions for binding to peptides for which no or little binding data exists.

Recommended citation: Wang, D., He, F., Yu, Y. et al. "Meta-learning for T cell receptor binding specificity and beyond". Nature Machine Intelligence 5, 337–339 (2023).
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