Thomas A. Geddes

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.

The paper identifies diet-responsive genes in Drosophila by analyzing genetic variation across diets and confirms their role in nutrient storage and utilization.

CiteFuse is a tool for analyzing CITE-seq data, integrating RNA and protein data, and offering clustering, differential expression, and visualization features.

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