STAR-GO: Improving Protein Function Prediction by Learning to Hierarchically Integrate Ontology-Informed Semantic Embeddings
Talk
Mehmet Efe Akça, Gökçe Uludoğan, Arzucan Özgür and İnci M. Baytaş
34th Conference on Intelligent Systems for Molecular Biology (ISMB 2026)
Date: July 2026
Location: Washington, D.C., USA
Abstract
STAR-GO is a Transformer-based framework that jointly models the semantic and structural characteristics of Gene Ontology terms for zero-shot protein function prediction. The paper was selected for an ISMB 2026 session highlighting notable recently published research.
Related Paper: This presentation is based on a published paper.
View Paper Details →Tags
Protein Function Prediction Gene Ontology Zero-Shot Learning Transformers Bioinformatics
Presented by Gökçe Uludoğan in an ISMB 2026 session highlighting notable recently published research.