S. Gail Eckhardt

eSIG-Net predicts how single mutations affect protein interactions using a sequence-based interaction language model, outperforming existing methods.

This paper introduces SCORPION, a tool for reconstructing gene regulatory networks from single-cell RNA-seq data, showing it outperforms existing methods and detects consistent regulatory differences in colorectal cancer.

e-MutPath identifies edgetic mutations that perturb functional pathways, revealing cancer vulnerability genes and drug targets through network-based analysis.