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Determination of the optimal probability threshold cut-off that separates the positive and negative classes using ROC curve by maximizing g-mean of specificity and sensitivity. The figure illustrates the optimal cut-off points determined from training dataset using (a) Ankh embeddings, (b) ESM-2 embeddings, and (c) ProtT5 embeddings.
