Roger Tu

A Case-Based Explainable Graph Neural Network Framework for Mechanistic Drug Repositioning

This paper introduces DBR-X, an explainable GNN framework for drug repositioning that outperforms existing models in predicting drug-disease associations and provides interpretable biological explanations.

Weighted Ensemble Approach for Knowledge Graph completion improves performance

This paper introduces a weighted ensemble method for knowledge graph completion that improves drug-disease candidate discovery by combining knowledge graph embeddings and path-based reasoning.

Drug Repurposing using Consilience of Knowledge Graph Completion Methods

This paper evaluates seven link prediction methods on a biomedical knowledge graph to identify drug repurposing candidates by combining path-based reasoning with knowledge graph embedding approaches.

Design and application of a knowledge network for automatic prioritization of drug mechanisms

The paper develops a knowledge network to prioritize drug mechanisms for repositioning, finding it can predict mechanisms with high accuracy.

Wikidata as a FAIR knowledge graph for the life sciences

The paper describes Wikidata as a FAIR knowledge graph for life sciences, showcasing its breadth, tools for integration, and use cases in biomedical analysis.