Neo4j Live: Crossr – Knowledge Graph based Drug Discovery
Knowledge graphs are key to extracting insight from volumes of available biomedical data. In this session, we'll cover a practical example of how Neo4j + Graph Data Science can be used to create graph-based features to help identify potential gene targets for a given disease.
Resources mentioned
- Crossr (opens in a new tab)
- Blog (opens in a new tab)
- Lightning Talk @ NODES 2022
- All biology is computational biology (opens in a new tab)
- Hetionet (opens in a new tab)
- Open Targets (opens in a new tab)
- Clinical Knowledge Graph (opens in a new tab)
- A systems-level framework for drug discovery identifies Csf1R as an anti-epileptic drug target (opens in a new tab)
- StringDB: StringDB (opens in a new tab)
- Doctor.AI Live Stream
Graph Data ScienceKnowledge graphs
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