Author

S. Hashemi

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#graph neural networks Open access Sep 2026

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

Open access Aug 2026

A Biologically Informed Heterogeneous Graph Neural Network for Multi-Task Prediction of ncRNA–Metastasis–Cancer Interactions

Metastasis involves context-dependent molecular interactions in which non-coding RNAs, particularly miRNAs and circRNAs, play important regulatory roles. However, existing computational approaches generally do not jointly represent cancer type, metastatic event, and cancer-specific metastatic context. We developed a co...

F. Midjani, Mohammadreza Shaghouzi, Amirhossein Dehqan Banadaki et al. · bioRxiv · 0 citations