BioinformaticsbioRxivPreprint
Unlocking Multi-Sample Differential Expression for Spatial Transcriptomics Data with TESSERA
Florica Constantine, Zoltan G. Laszik, Sandrine Dudoit, Elizabeth A. Purdom
TESSERA is a method for analyzing multi-sample spatial transcriptomics data, enabling differential expression analysis while accounting for spatial correlation and sample-specific factors.