James G. Burchfield

ThunderBolt provides an interactive web platform for analyzing large proteomics datasets through guided exploration, preprocessing, and statistical analysis.

The paper develops SnapKin, a deep learning ensemble model for kinase-substrate prediction from phosphoproteomics data, achieving the best performance in this task.

This study uses phosphoproteomics to show that insulin resistance involves rewired signaling networks and widespread dysregulation of GSK3 activity.

The paper compares proteomics profiles of subcutaneous and visceral adipose tissue in mice to identify depot-specific differences and responses to diet.

The paper introduces an autoencoder-based cluster ensemble framework for scRNA-seq data to improve cell type-specific clustering.