Spatial transcriptomics data analysis increasingly depends on artificial intelligence (AI) to convert raw, location-tagged gene expression readings into a usable map of tissue biology. Unlike ...

A new spatial transcriptomics framework compares tumor “floor plans,” revealing conserved spatial groups that may relate ...

Spatial genomics is a cutting-edge field that combines genomics and spatial analysis to investigate the role of genomic features in disease at single-cell resolution. Spatial genomics is a field of ...

Northwestern Medicine scientists have developed a novel high-resolution spatial genomics platform that may enhance future research into how genome organization and genetic alterations contribute to ...

In our data-rich world, here’s the most fascinating aspect of spatial analysis: The more complex the problem, the more multi-layered it is, the more powerful spatial analysis is. Understanding and ...

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) ...

Spatial biology answers a question that bulk and single-cell methods cannot: not just which cells are present in a tissue, but where they sit and which neighbors they are signaling to. This guide maps ...

No sooner had spatial biology made its way into the mainstream of genomic science than GEN figured out the key players in the emerging field, then ranked them for its first A-List of “Top 10 Spatial ...

Spatial learning has never suffered from a shortage of compelling use cases. Anatomy, chemistry, engineering and many other ...