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Pegasus: a knowledge graph to support drug discovery
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Classroom Contents
Neo4j Health Care & Life Sciences Workshop
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- 1 Neo4j Health Care & Life Sciences Workshop Day 1
- 2 Neo4j Health Care & Life Sciences Workshop Day 2
- 3 Neo4j Health Care & Life Sciences Workshop Day 1 - Opening
- 4 Graph data science and knowledge graphs for target discovery for cardiometabolic diseases
- 5 Mapping the OMOP Common Data Model to Neo4j for Pneumonia Therapy Response: SCRIPT Case Study
- 6 Building complex Web Applications for Health Care using Neo4j
- 7 Pegasus: a knowledge graph to support drug discovery
- 8 HealthECCO: Bringing the world’s health knowledge to research and medical decision makers
- 9 Analyzing Perturbed Co-Expression Networks in Cancer Using a Graph Database
- 10 Lifelike - a graph-powered knowledge reconstruction and mining platform to accelerate research
- 11 Graph-centric framework for translational clinical proteomics
- 12 From Queries to Algorithms to Advanced ML: 3 Pharmaceutical Graph Use Cases
- 13 Neo4j for Bacterial Genomes
- 14 Modelling Multi Omics data in Neo4j to identify targets for strain development
- 15 Unveiling the knowledge in knowledge graphs
- 16 Evaluating Drug Safety Data Using Graph Databases
- 17 Clinical Knowledge Graph with Spark NLP and Neo4j
- 18 Neo4j Health Care & Life Sciences Workshop Closing Panel Discussion
