CROssBAR: Comprehensive Resource of Biomedical Relations with Deep Learning Applications and Knowledge Graph Representations
Tunca Doğan, Heval Ataş, Vishal Joshi, Ahmet K. Atakan, Ahmet Süreyya Rifaioğlu, Esra Nalbat, Andrew Nightingale, Rabie Saidi, Vladimir Volynkin, Hermann Zellner, Rengül Çetin-Atalay, Maria Jesus Martin, Volkan Atalay
The paper introduces CROssBAR, a resource that integrates biomedical data and uses deep learning to predict entity relations, displaying results in knowledge graphs for systems-level analysis of diseases like COVID-19.
Nucleic Acids Research · Jun 11, 2021Peer-reviewedBioinformatics