A Nature Methods benchmark of 11 segmentation methods across 15 spatial transcriptomics datasets shows that algorithm and ...

A team of Vanderbilt researchers has released a new benchmarking study that aims to assist scientists in selecting the most effective methods for analyzing spatial transcriptomics (ST) data. ST ...

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 ...

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 ...

Single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics are providing increasingly detailed views of complex cellular ecosystems, enabling researchers to investigate cellular heterogeneity, ...

An AI model has been developed that integrates spatial transcriptomics data to analyze cell interactions and gene activity.

This approach is valuable for characterizing molecular heterogeneity, but the genes that separate transcriptional clusters ...

Global Transcriptomics Market size is expected to be worth around US$ 23.6 Billion by 2034 from US$ 7.4 Billion in 2024.

Researchers reveal the intricate molecular landscape of triple-negative breast cancer (TNBC), uncovering actionable spatial archetypes and gene signatures that pave the way for personalized therapies ...

A spatial transcriptomics study of fatal COVID-19 lungs reveals progressive loss of endothelial and immune cells, explosive ...