Pep-PU-GAN: Positive-Unlabeled Adversarial Learning for Peptide Function Prediction
Peptide classification remains challenging in bioinformatics because of limited labeled data, particularly the scarcity of verified negative examples, and the complex relationship between amino acid sequences and biological functions. This study introduces Pep-PU-GAN, a deep learning framework that combines positive-un...
F. Midjani, S. Hashemi, Fatemeh Keshtkar et al.
· bioRxiv · 0 citations