Understanding gene expression in different cell types within their spatial context is a key goal in genomics research. SPADE (SPAtial DEconvolution), our proposed method, addresses this by integrating ...

An essential task in spatial transcriptomics is identifying spatially variable genes (SVGs). Here, we present Celina, a statistical method for systematically detecting cell type-specific SVGs (ct-SVGs ...

The reason why so many tree species can coexist in species-rich forests has long been a subject of debate in ecology. This question is key to understanding the mechanisms governing the dynamics and ...