Article

Clustering rare diseases within an ontology-enriched knowledge graph

2023-02-16

Abstract excerpt

<h4>Structured Abstract</h4> <h4>Objective</h4> Identifying sets of rare diseases with shared aspects of etiology and pathophysiology may enable drug repurposing and/or platform based therapeutic development. Toward that aim, we utilized an integrative knowledge graph-based approach to constructing clusters of rare diseases. <h4>Materials and Methods</h4> Data on 3,242 rare diseases were extracted from the Nati...

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Literature Corpus work: 3c705e30-8766-55b4-bdbd-ac15f632a4d1
DOI: 10.1101/2023.02.15.528673

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