Andrew B. Munkacsi

This paper develops an extended polygenic risk score (ePRS) framework for type 2 diabetes that incorporates gene-gene and gene-environment interactions, showing improved predictive power over traditional additive models.

The paper introduces NS-DIMCORN, a generative model using ODEs to reconstruct gene regulatory networks from scRNA-seq data, outperforming existing methods in accuracy.

The paper identifies genetic interaction networks in yeast that mediate statin pleiotropy and translates findings to human drug targets.

The paper identifies master regulators of genetic interaction networks mediating statin response in yeast, showing variability across genetic backgrounds.