hybrid-kg/clep
🤖 A Python Package for generating new patient representations driven by data and prior knowledge
This project helps biomedical researchers transform raw patient data (like gene expression levels) and existing biological knowledge (like gene-disease relationships) into meaningful patient profiles. It takes patient-level data tables and a knowledge graph as input, then generates enriched patient representations or network embeddings. This tool is designed for biologists, clinicians, and pharmaceutical researchers who analyze complex patient datasets.
Use this if you need to create sophisticated patient representations for downstream analysis, such as identifying patient subgroups or predicting disease outcomes, by combining quantitative measurements with established biological relationships.
Not ideal if your primary goal is simple statistical analysis of patient data without leveraging a structured knowledge graph, or if you lack a well-defined knowledge graph for your domain.
Stars
24
Forks
5
Language
Python
License
Apache-2.0
Category
Last pushed
Oct 24, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/embeddings/hybrid-kg/clep"
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