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 ...

Complete Genomics will share details of various multi-omics and spatial transcriptomics applications based on its sequencing technology at the 2024 American Society of Human Genetics (ASHG) Meeting.

A wave of spatial transcriptomics studies has produced gene-expression atlases that span entire organs and whole organisms, ...

Tumors contain many different types of cells organized in complex spatial patterns that can influence how the disease progresses. Because of this, it is hard to predict how a tumor will develop and ...