pLM-HP: Peptide hormone prediction using pre-trained protein language model representations.
Results indicate that combining protein language models with sequence modeling and class-imbalance learning strategies is an effective way to improve peptide hormone prediction and to improve the recognition of hormone peptides as the minority class.