arXiv (All)
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CaliPPer: quantifying, predicting and improving AI model performance for binding prediction
Binding prediction models accelerate therapeutic antibody and TCR discovery, but their performance on new datasets is unpredictable, often leading to low discovery rates. Density-ratio methods (PAPE, M-CBPE) provide label-free performance estimation for binary classification, but their assumptions a
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