Anthony Piron

This study uses sex-stratified GWAS and explainable AI to identify 184 genes associated with T2D subtypes and improve risk detection.

This study integrates multi-omics data to identify genetic variants and molecular mechanisms associated with type 2 diabetes and highlights potential drug targets.

RedRibbon is a rank-rank hypergeometric overlap method for comparing gene and transcript expression signatures, showing accuracy and efficiency on large datasets.

The paper creates TIGER, a resource integrating RNA-seq and genotyping data from human pancreatic islets to identify eQTLs and their associations with type 2 diabetes.