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 ...

In this article, computation for the purpose of spatial visualization is presented in the context of understanding the variability in global environmental processes. Here, we generate synthetic but ...

A novel spatial transcriptomics atlas developed by Northwestern Medicine scientists may improve the understanding of niche cellular interactions in the gastrointestinal tract that promote the ...

Spatial biology is a rapidly advancing discipline that examines biological molecules (such as DNA, RNA, and proteins) within their native locations in tissues. This approach offers critical insight ...

Hepatocellular carcinoma (HCC) is a highly heterogeneous malignancy characterized by marked cellular and spatial diversity within the tumor microenvironment (TME). The transforming growth factor-β ...

DenoIST is a package for denoising image-based spatial transcriptomics data. It takes a IST count matrix and returns a adjusted count matrix with contamination removed. The package is designed to be ...

The tumor microenvironment (TME) of invasive lobular carcinoma (ILC) remains largely unexplored despite its clinical relevance and distinct biology. Using spatial transcriptomics, we reveal insights ...

Foster City, Calif. | January 27, 2026 — Signios Bio today announced the launch of a new grant program supporting innovative spatial transcriptomics research using the 10x Genomics Xenium 5K Spatial ...

Transcriptomic analysis of patients with colorectal cancer in Ireland. This is an ASCO Meeting Abstract from the 2026 ASCO Gastrointestinal Cancers Symposium. This abstract does not include a full ...

Spatial transcriptomics provides a unique perspective on the genes that cells express and where those cells are located. However, the rapid growth of the technology has come at the cost of ...