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

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.

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.

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 ...

bDepartment of Intensive Care Medicine, Nepean Hospital, Sydney, NSW, Australia cThe University of Sydney Nepean Clinical School, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, ...

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.

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

Department of Thoracic Surgery, Shengjing Hospital of China Medical University, Shenyang, China Objectives: The tumor microenvironment (TME) plays a critical role in the progression of lung ...