Using single-cell sequencing and spatial tools, researchers have created the most comprehensive map of the maternal–fetal interface yet.

New spatial transcriptomics approach combined with machine learning maps gene expression across whole mouse body sections, ...

Adelaide University is leading the international Wheat Spatial Omics Consortium (WSOC) of more than 30 institutions in nine ...

Researchers developed an analytic framework for spatial-omics data that can help to map biological activity within tumors.

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 ...

Understanding gene expression within the body has been a boon for 21st century biology and therapeutics, but most discoveries that use these ...

A new single-cell atlas shows how epigenetic changes reshape brain cells during aging, revealing genomic instability, ...

ChatSpatial replaces ad-hoc LLM code generation with schema-enforced orchestration — the LLM selects methods and parameters from a curated registry instead of writing arbitrary code, ensuring ...

Here, we present Randomized Spatial PCA (RASP), a novel spatially aware dimensionality reduction method for spatial transcriptomics (ST) data. RASP is designed to be orders-of-magnitude faster than ...

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