David DeTomaso

This study identifies PGAM as a negative regulator of Th17 pathogenicity using single-cell RNA-seq and metabolic flux analysis.

The paper introduces Compass, an algorithm that uses single-cell RNA-Seq and flux balance analysis to characterize metabolic states in Th17 cells, revealing a metabolic switch and novel anti-inflammatory regulators.

The paper introduces a method called Hotspot to identify informative gene modules across single-cell genomics modalities, showing its ability to detect transcriptional, spatial, and developmental patterns.

VISION annotates variation sources in single-cell RNA-seq data without preconceived group stratification, linking findings to clinical phenotypes in lupus B cells.

This paper evaluates normalization methods for scRNA-seq using a framework called scone, showing that top methods improve agreement with validation data.

FastProject provides a tool for 2D visualization of single-cell RNA-seq data, incorporating gene signatures to enhance biological interpretation of projections.