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.

Single-cell RNA transcriptomics allows researchers to broadly profile the gene expression of individual cells in a particular tissue. This technique has allowed researchers to identify new subsets of ...

Spatial transcriptomics is a cutting-edge technique that examines gene expression within tissue sections, such as the heart, skin, or liver. By mapping gene activity in its spatial context, ...

For the first time, scientists can view RNA molecules directly inside cells and tissue in minute detail and across the entire human genome concurrently, thanks to new technology created by a Yale ...

The spatial genomics & transcriptomics market is expanding under the influence of factors including rising acceptance of spatial genomics and transcriptomics techniques for drug discovery and ...