iBKH
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About
iBKH (Integrative Biomedical Knowledge Hub) is a comprehensive biomedical knowledge graph that encompasses a vast array of biomedical entities and their relationships, helping to manage extensive and complex biomedical knowledge. The current version contains over 2.3 million entities and almost 48 million relationships across various biomedical categories, making it a significant resource for researchers and practitioners. It features a web-based graphical portal for easy interaction and visualization of biomedical data, alongside an efficient graph learning module for novel knowledge discovery. The tool integrates knowledge from multiple sources, showcasing a range of entities like diseases, drugs, genes, and their interrelations. iBKH aims to enhance knowledge retrieval through innovative applications like cohort context exploration and link prediction. It operates under a CC BY-NC-SA 4.0 license, emphasizing the importance of data attribution and source permissions.
Platform
Features
• comprehensive biomedical knowledge graph
• integration of multiple biomedical knowledge sources
• scalable graph learning module
• graphical portal for visualized data
• fast and interactive knowledge retrieval
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