“Mapping spatial gradients in spatial transcriptomics data with score matching”
An Wang, Donald Geman, Uthsav Chitra†, Laurent Younes†.
Check out our new pre-print describing SLOPER, a score matching method for estimating spatial gradients from spatial transcriptomics data. Code is available on Github.
Welcome to the first two PhD students in the group: Sai Dharmasena and Neri Vu!
“GASTON-Mix: a unified model of spatial gradients and domains using spatial mixture-of-experts”
Uthsav Chitra, Shu Dan, Fenna Krienen, and Ben Raphael.
“Anomaly Detection in Spatial Transcriptomics via Spatially Localized Density Comparison”
Gary Hu, Julian Gold, Uthsav Chitra, Sunay Joshi, and Ben Raphael.
Uthsav will be traveling to ISMB 2025 to present the first paper.