This figure shows how the STAIG framework can successfully identify spatial domains by integrating image processing and contrastive learning to analyze spatial transcriptomics data effectively.

The rapid development of spatial transcriptomics (ST) technologies has greatly advanced the understanding of gene expression, tissue architecture, cellular composition, and disease mechanisms within ...

Knowing the location of a gene within intact tissue or a single cell allows scientists to unlock unknown cellular functions. This information is often lost in most genetic sequencing techniques, but ...

Scientists at Northwestern University have developed the largest open-access resource of its kind to help researchers shave off months of early-stage drug development time by allowing them to better ...

Biological tissues are made up of different cell types arranged in specific patterns, which are essential to their proper functioning. Understanding these spatial arrangements is important when ...

Tumors contain many different types of cells organized in complex spatial patterns that can influence how the disease ...

Genovis AB, a leading provider of innovative enzyme technologies, today announces a strategic partnership with Single Cell Discoveries to broaden the application of the SEQURNA® Thermostable RNase Inh ...

Strapped with an extra APP, people with Down’s syndrome are all but destined to develop Alzheimer’s dementia if they live past middle age. Compared with sporadic forms of the disease, DSAD starts ...