Abstract: Spatial transcriptomics technology fully leverages spatial location and gene expression information for spatial clustering tasks. However, existing spatial clustering methods primarily ...

Hi, I am trying to run sopa Baysor cell segmentation pipeline with 10x xenium data. I am using snakemake version 9.14.0, and sopa newest version. When i run ...

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 ...

Transcriptomics represents a critical discipline in cancer research, enabling comprehensive mapping of gene expression profiles and the identification of fusion genes implicated in tumor development.

Drug discovery is becoming more personalized, and the methods used to generate therapeutic insights are advancing alongside it. Spatial biology tools let researchers interrogate tissue function, cell ...

The liver is remarkable for its ability to regenerate after injury, yet when this process fails, acute liver failure (ALF) carries devastating outcomes. Traditional research methods, reliant on bulk ...

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

Not revised: This Reviewed Preprint includes the authors’ original preprint (without revision), an eLife assessment, public reviews, and a provisional response from the authors. In the manuscript, ...

First fully integrated spatial multiomic assay from 10x Genomics brings RNA and protein data together in situ – unlocking deeper insights into cell function and disease biology PLEASANTON, Calif., Aug ...

Abstract: Spatial transcriptomics analysis methods offer an opportunity to investigate highly diverse biological tissues. Cell-cell communication is fundamental for maintaining physiological ...