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 ...

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 ...

Summary: Researchers developed “Core2Edge,” an advanced ex vivo human tissue model that replicates the invasive spread and ...

Since its inception, spatial biology has proven a revolutionary frontier in life science research. However, there is still plenty of room for growth in the systems we use to conduct spatial biology ...

Bile acid metabolism suppression was linked to colorectal cancer prognosis and a 15 gene signature predicted overall survival ...

Complete the form below to receive the poster. Spatial transcriptomics has transformed our ability to map gene expression within intact tissues, yet most existing approaches require specialized ...

Over the last few years, the single-cell landscape has transitioned from mapping individual cellular transcriptomes to ...

Scientists used GAGE-seq (genome architecture and gene expression by sequencing), a technique that measures both gene expression and physical contacts in the same single cell.

Researchers at MD Anderson Cancer Center have used spatial transcriptomics to chart the internal architecture of ...