Sarah M. Goggin

This paper introduces an ensemble clustering method with hyperparameter randomization that improves clustering accuracy and interpretability across diverse datasets.

This study uses single-cell mass cytometry to map somatosensory development in mouse dorsal root ganglia, identifying distinct cell states and highlighting differences between protein and mRNA expression.

The paper constructs a developmental atlas of the mouse brain using single-cell mass cytometry, identifying 85 molecularly distinct cell populations and revealing discrepancies between protein and mRNA abundances.

The paper introduces HiDRA, a method for high-resolution functional analysis of regulatory regions, identifying 13,000 driver elements and linking them to disease-associated variants.