iBitter-HF: A Method for Bitter Peptide Sequence Identification Based on Hybrid Feature Embedding
iBitter-HF is proposed, a hybrid feature embedding method that integrates seven classes of hand-crafted descriptors with Unified Representation (UniRep) features that supports iBitter-HF as a computational aid for sequence-level bitter peptide screening and debittering-oriented design of protein hydrolysates.