Kevin Schaper

The paper identifies 61,243 phenologs between human diseases and model organism phenotypes, using a hypergeometric method to rank candidate genes and validate their predictive power.

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.

This study develops SSPA to prioritize SNPs associated with canopy height and growth rate in sorghum using GWAS and feature engineering.

Phenomics Assistant is a chat-based interface that uses LLMs to query the Monarch knowledge graph, improving reliability for non-expert users to explore disease-gene-phenotype relationships.