Eduardo P. García del Valle

Analysis of new nosological models from disease similarities using clustering

The paper uses clustering to analyze disease similarities based on biological and phenotypical features, finding that weighted biological similarities can improve disease classification.

DISNET: A framework for extracting phenotypic disease information from public sources

DISNET extracts phenotypic disease information from public sources to create customizable disease networks for drug repositioning.

Completing missing MeSH code mappings in UMLS through alternative expert-curated sources

This paper addresses gaps in UMLS disease mappings by using alternative expert-curated sources, resolving over 50% of missing mappings for some vocabularies.

Disease networks and their contribution to disease understanding and drug repurposing: Evolution of the concept, techniques and data sources

The paper reviews the evolution of disease networks and evaluates their functional units to inform drug repurposing and prediction model development.