Integrating Categorical and Structural Proximity in Disease Ontologies

Image credit: [Lorenzo Madeddu]


The purpose of the study described in this paper is to shed more light on disease similarities by analyzing the relationship between categorical proximity of diseases in human-curated ontologies and structural proximity of the related disease module (DM) in the interactome. We propose a methodology (and related algorithms) to automatically induce a hierarchical structure from proximity relations between DMs, and to compare this structure with a human-curated disease taxonomy.

Nov 5, 2021 6:05 PM — 6:15 PM
EMBC 2021
Lorenzo Madeddu
Lorenzo Madeddu
Senior data scientist (R&D), PhD

He is a senior data scientist (R&D) in the Knowledge Graph Insights team at AstraZeneca.