The expression of each gene is often measured in groups of patients with a given disease to compare to healthy patients. It is then calculated which genes are higher, lower, or similar to healthy patients. We’ve used these calculations to introduce patients into a biomedical knowledge graph containing genes so we could generate an embedding for each patient using PyKEEN. After, we showed these embeddings are useful for classifying new patients and other downstream ML tasks.

CLEP Diagram

Code Data Paper