Lucas A. Gillenwater

The paper investigates whether common cis-eQTLs explain gene expression deviations from ploidy expectations in Down syndrome using transcriptomic data from the Human Trisome Project and GTEx.

HetNetEX provides exact asymptotic inference for connectivity in heterogeneous biomedical knowledge graphs, outperforming XSwap in speed and accuracy.

CLAMP integrates genetic associations and drug signatures with large-scale RNA-seq data to identify interpretable gene modules linked to complex diseases.

PaIRKAT improves testing power for pathway-phenotype associations by integrating graph structure into kernel regression, showing effectiveness in metabolomics data.