It feels churlish, in this day and age, to come on the internet and celebrate Disney. Less a movie studio and more a terrifying global monopoly, the Walt Disney Corporation has grown so worryingly ...

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.

Abstract: Spatial transcriptomics (ST) is a groundbreaking genomic technology that enables spatial localization analysis of gene expression within tissue sections. However, it is significantly limited ...

Do you want to generate spatial transcriptomics data using your H&E images? We introduce DeepSpot, a novel deep-learning model that predicts spatial transcriptomics from H&E images. DeepSpot employs a ...

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 ...

Transcriptomics Data Analysis (TDA) is a live, instructor-led training program designed to introduce participants to best practices in the analysis of high-throughput RNA sequencing (RNA-seq) data.

As life sciences enter the era of precision biology, spatial genomics and transcriptomics are transforming our ability to decode gene expression not just at the molecular level, but also within the ...