Spatial data is any type of data that directly or indirectly references a specific geographical area or location. It is most commonly processed and analyzed by geographical information systems (GISes) ...
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 ...
An interpretable machine learning framework called SPACER decodes the gene-level rules that recruit or exclude immune cells ...
A spatial transcriptomics study of fatal COVID-19 lungs reveals progressive loss of endothelial and immune cells, explosive ...
Information technology may be on the verge of a revolution, driven by spatial data, according to David Randle, worldwide head of go-to-market for spatial computing at Amazon Web Services. And ...
Follow a complete high-plex spatial proteomics workflow on archival FFPE tumour tissue, from marker-panel design to cell ...
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