Dimensionality reduction is standard practice for filtering noise and identifying relevant
features in large-scale data analyses. In biology, single-cell genomics studies typically begin …

In single-cell genomics, we can simultaneously assay hundreds of thousands of cells, their
molecular contents, and how they respond to perturbation, from genetic knockouts to …

As single-cell RNA sequencing experiments continue to advance scientific discoveries
across biological disciplines, an increasing number of analysis tools and workflows for …

A fundamental hindrance to building data-driven reduced-order models (ROMs) is the poor
topological quality of a low-dimensional data projection. This includes behavior such as …