Advaita Bio builds AI-powered software for pathway analysis, variant interpretation, and single-cell analytics. Trusted by ...

Normally, cells must be lysed for a so-called transcriptome analysis - which reveals which genes are currently being ...

Transcriptomic phenotyping offers mechanistic insight into adipocyte biology and metabolic disease. A signature of adipocyte ...

This figure shows how the STAIG framework can successfully identify spatial domains by integrating image processing and contrastive learning to analyze spatial transcriptomics data effectively.

Biological tissues are made up of different cell types arranged in specific patterns, which are essential to their proper functioning. Understanding these spatial arrangements is important when ...

Transcriptomics is the study of the transcriptome, which is the complete set of RNA transcripts produced by the genome at a specific time or under particular conditions. It involves the analysis of ...

Spatial transcriptomics is transforming how scientists see biology—literally—by mapping gene activity in its original location inside tissues. From decoding tumor architecture to charting entire ...

Real-time nanopore transcriptomics enables early detection of expression changes and sample quality, offering a rapid, cost-effective strategy for experimental quality control and transcriptomic ...

Head and neck cancers display notable heterogeneity in their immune cell infiltrates, which reflect intricate spatial arrangements and dynamic networks of ...

Scientists at St. Jude Children's Research Hospital, the National Center for Genomic Analysis and the University of Adelaide have created a single-cell RNA analysis method that is 47 times cheaper and ...