Researchers have developed a near-single-cell resolution spatial transcriptomic approach to study developmentally regulated RNA processes.

Abstract: Spatial transcriptomics is an emerging technology that allows for analysis of cellular and molecular heterogeneity at spatial resolution. The accurate identification of pathological regions ...

The Stanford researcher’s startup aims to build A.I. systems fluent in the physical world. Photo by Yui Mok - Pool/Getty Images So-called world models like Marble are central to Li’s vision of the ...

Marble can reconstruct, generate, and simulate 3D worlds—think of it as a type of “world model.” In an interview with Fast Company, Li describes world models as a “significant” evolution of the ...

Apple has introduced two interesting ways to view photos across its platforms, Spatial Photos and Spatial Scenes, and each adds depth in its own way. Here are the differences and what you need to know ...

A comprehensive review article titled “Bioinformatics perspectives on transcriptomics: A comprehensive review of bulk and single-cell RNA sequencing analyses,” published in Quantitative Biology, ...

Background Most patients with biliary tract cancer (BTC) do not derive durable clinical benefit (DCB) from immune checkpoint inhibitors (ICIs), underscoring the urgent need for predictive biomarkers.

Spatial transcriptomics enables researchers to measure gene expression in tissue sections while preserving their spatial organisation. Unlike traditional RNA sequencing, which requires dissociating ...

A detailed description of the pipeline, methods, and results can be found in the following article: Giraud-Sauveur, F. et al. STHELAR, a multi-tissue dataset linking spatial transcriptomics and ...