Daniel J. Stein

This paper introduces VIMA, a method for analyzing spatial molecular data to identify disease-associated spatial features, showing improved performance over existing methods in simulations and real datasets.

Tessera improves tissue segmentation in spatial single-cell data by creating accurate, boundary-preserving tiles that capture natural tissue structures in mouse and human tissues.