An interpretable machine learning framework called SPACER decodes the gene-level rules that recruit or exclude immune cells ...
Cell type annotation is the step at which spatial transcriptomics data becomes interpretable biology, converting expression matrices into labeled tissue maps. The challenge is sharpened by limited ...
A spatial transcriptomics study of fatal COVID-19 lungs reveals progressive loss of endothelial and immune cells, explosive ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results