Tumor transcriptomics involves the comprehensive analysis of ribonucleic acid transcripts within cancer cells, providing essential insights into gene expression patterns, disease classification, and ...

A Nature Methods benchmark of 11 segmentation methods across 15 spatial transcriptomics datasets shows that algorithm and ...

A new review in Cellular and Molecular Life Sciences maps the molecular pathways, immune microenvironment and AI-driven ...

Spatial transcriptomics technologies opened the door for new kinds of biological measurements, allowing scientists to generate detailed maps of where genes are expressed in tissue. But most methods ...

Spatial transcriptomics is a cutting-edge technique that characterizes gene expression within sections of tissue, such as heart, skin or liver tissue. These snapshots provide insights into how spatial ...

LatchBio provides white-labeled data infrastructure, analysis tools and delivery portals for kit, instrument, and solution providers. Today, LatchBio released a 25 million cell spatial atlas spanning ...

Spatial transcriptomics technologies vary widely in spatial resolution, sensitivity and compatibility with formalin-fixed paraffin-embedded (FFPE) tissues, yet comparative data generated from the same ...

Fei Chen and Chenlei Hu at the Broad Institute of MIT and Harvard have developed a new imaging-free spatial transcriptomics technology that tracks the diffusion of DNA barcodes between beads in an ...

Although single-cell foundation models are powerful in capturing complex gene and cell features, they focus exclusively on intracellular gene interactions and neglect extracellular signaling. Spatial ...

Co-first author Jiyuan Yang, PhD, St. Jude Department of Computational Biology and co-senior and corresponding author Jiyang Yu, PhD, St. Jude Department of Computational Biology interim chair look at ...