Lee Lancashire

The paper introduces EC-KG, a unified biomedical knowledge graph for drug repurposing that integrates multiple existing knowledge graphs to enhance coverage and uncover novel mechanistic pathways.

NetMedGPT is a transformer-based foundation model trained on biomedical knowledge graphs to predict drug-disease associations and support drug repurposing, outperforming specialized models in multiple tasks.

The PTSD Biomarker Database compiles over 900 PTSD biomarkers from 109 studies to enable exploration and comparison of biomarker findings through interactive visualizations.

The paper identifies DNA methylation oscillations as a marker for enhancer classification, showing high predictive power compared to other methods.

pdxBlacklist identifies false-positive variants in PDX samples by detecting mouse-derived reads mapped to the human genome, improving variant call set quality.