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

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.

A team of researchers has constructed the most detailed single-cell map of the adult human prostate to date, cataloging more ...

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 ...

Transcriptomics is the study of the transcriptome, which is the complete set of RNA transcripts produced by the genome at a specific time or under particular conditions. It involves the analysis of ...

Foundation models (FMs), which are deep learning models pretrained on large-scale data and applied to diverse downstream ...

Nova-ST, a new spatial transcriptomics technique, has been introduced by researchers based at Vlaams Instituut voor Biotechnologie (VIB), Katholieke Universiteit (KU) Leuven. According to the ...

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

A single-cell atlas of brain aging epigenetics has mapped methylation, chromatin, and gene activity changes across 36 cell ...