This project performs an in-depth analysis of liver cancer spatial transcriptomics data using the Xenium Human Multi-Tissue and Cancer Panel 1: Human Liver Data dataset from 10x Genomics. The analysis ...

Study: Spatial transcriptomics reveals substantial heterogeneity in triple-negative breast cancer with potential clinical implications. Image Credit: Shutterstock AI / Shutterstock.com In a recent ...

Enhancing a low-cost, minimally invasive screening test for dihydropyrimidine dehydrogenase mutations linked to 5-fluorouracil sensitivity by integrating computational mutation predictions. This is an ...

spatial transcriptomics combines high-throughput RNA sequencing with histological imaging to map transcripts back to their original locations in a tissue sample. This is particularly useful in complex ...

Mingyao Li, PhD, Professor, Biostatistics and Digital Pathology, University of Pennsylvania When using spatial transcriptomics ... and found traces of cancer-and the body's response to treatments ...

The scope of the report covers detailed information regarding the major factors, such as drivers, challenges, opportunities, ...

Sequencing), Application (Translation Research (Cancer)) - Global Forecast to 2029" report has been added to ResearchAndMarkets.com's offering. The spatial genomics & transcriptomics product ...

Study: Integration of lipidomics with targeted, single cell, and spatial transcriptomics defines an unresolved pro-inflammatory state in colon cancer. Image Credit: Vladimir Sukhachev ...

In 2023, the product segment accounted for the highest share of the spatial genomics and transcriptomics market. The growing demand for high-resolution spatial gene and protein expression data in ...