iBKH
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About
iBKH (Integrative Biomedical Knowledge Hub) is a comprehensive biomedical knowledge graph designed for the management and retrieval of complex biomedical knowledge. Version 1.0 includes 2,384,501 entities and 48,194,646 relations derived from 18 different biomedical sources. It serves as an efficient portal for fast, interactive visual retrieval of biomedical knowledge, featuring advanced graph learning modules for novel knowledge discovery. The tool categorizes biomedical knowledge into various entities such as diseases, drugs, and genes, linking them through numerous relationships. It aims to facilitate biomedicine researchers with a powerful platform to explore sophisticated data, contributing to better healthcare practices and biological research.
Platform
Features
• interactive visualizations of complex relationships
• supports exploration of extensive entity types
• advanced graph learning for knowledge discovery
• user-friendly graphical portal for knowledge retrieval
• comprehensive biomedical knowledge integration
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