CROssBARv2: A Unified Computational Framework for Heterogeneous Biomedical Data Representation and LLM-Driven Exploration
Bünyamin Şen, Erva Ulusoy, Melih Darcan, Mert Ergun, Sebastian Lobentanzer, Ahmet Süreyya Rifaioğlu, Dénes Türei, Julio Sáez-Rodríguez, Tunca Doğan
CROssBARv2 integrates heterogeneous biomedical data into a knowledge graph with embeddings and LLM-driven tools for predictive modeling and question-answering.
bioRxiv · Apr 15, 2026 · PreprintBioinformatics