Phys.org

Computational tool incorporates transcriptome size to improve RNA-seq analysis

Researchers studying gene expression have access to vast amounts of data from cells or tissues. This is thanks to advances in bulk and single-cell RNA-sequencing (RNA-seq) technologies that can ...
ascopubs.org

Prediction of Patients With High-Risk Osteosarcoma on the Basis of XGBoost Algorithm Using Transcriptome and Methylation Data From SGH-OS Cohort

Benefits of Combining Circulating Tumor DNA With Tissue and Longitudinal Circulating Tumor DNA Genotyping in Advanced Solid Tumors: SCRUM-Japan MONSTAR-SCREEN-1 Study Osteosarcoma (OS) is the most ...
technologynetworks

Spatial Multiomics: Combining Transcriptome, Proteome, and Epigenome in Tissue

Single-modality spatial data tells only part of the story. Spatial multiomics is extending the promise of spatial biology by capturing the transcriptome, proteome, and epigenome from the same tissue ...
Donga Science

Samsung Seoul Hospital identifies four subtypes of Vater ampulla cancer and pinpoints most aggressive PB-KRAS form

Single-cell transcriptome and spatial transcriptomics reveal KRAS-driven stemness and immune-suppressive microenvironment in a rare ampullary carcinoma ...
Nasdaq

NanoString’s CosMx SMI Achieves Whole Transcriptome Imaging at Single-Cell Resolution

Major milestone marked by first public dataset released for CosMx Whole Transcriptome Panel with additional data forthcoming at the AGBT Meeting NanoString is marking this milestone achievement with ...