Tim Stohn

ESGI provides a flexible framework for demultiplexing and processing single-cell sequencing data with arbitrary barcode architectures, supporting complex and emerging experimental designs.

The paper investigates how cell-state differences affect drug responses and signaling network interactions in human epidermal stem cells.

This paper introduces scCNR, a method to reconstruct signal transduction networks from single-cell protein data by treating stochastic variation as perturbations, and validates it on simulated and experimental data.