TCR-H: Machine Learning Prediction of T-cell Receptor Epitope Binding on Unseen Datasets
Rajitha Rajeshwar T.,
Omar Demerdash,
Jeremy C. Smith
Abstract:AI/ML approaches to predicting T-cell receptor (TCR) epitope specificity achieve high performance metrics on test datasets which include sequences that are also part of the training set but fail to generalize to test sets consisting of epitopes and TCRs that are absent from the training set, i.e., unseen. We present TCR-H, a supervised classification Support Vector Machines model using physicochemical features trained on the largest dataset available to date using only experimentally validated non-binders as n… Show more
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