Welcome to ClinicalKnowledgeGraph’s documentation!¶
This web page contains the documentation for the Python code using Sphinx.
First steps¶
Are you new to the Clinical Knowledge Graph? Learn about how to use it and all the possibilities.
Getting started: With Requirements | With Neo4j | With Clinical Knowledge Graph | With Windows | With Docker
Getting started¶
Connecting to the CKG: Connect to DB
Create a new user in the graph database: Create new user
Create a project in the database: Project Creation
Upload experimental data: Data Upload
Define data analysis settings: Configuration
Access the analysis report: Access report
Report notification: Notifications
CKG Builder¶
Ontology sources and parsers: Ontologies
Biomedical databases and resources: Databases
Parsing experimental data: Experiments
Building the graph database from one module: Builder
Advanced features¶
CKG Statistics: Imports stats | Graph database stats
Jupyter notebooks: Notebooks
Retrieving data from the CKG: DB Querying
Data Analysis: Analysis
Visualization: Plots
R interface: R wrapper
System Requirements¶
API Reference¶
- API Reference