A new spatial transcriptomics method maps gene expression in archived FFPE tissue at single-cell resolution, expanding ...

The ATLAS method imputes spatial single-cell maps of mouse brains and uncovers cell-type and regional composition differences ...

A new dual-view machine learning framework called scTrans-SVD achieved a mean Macro-F1 of 0.8820 across 13 public single-cell ...

Transcriptomics is the study of the transcriptome—the complete set of RNA transcripts that are produced by the genome, under specific circumstances or in a specific cell—using high-throughput methods, ...

AI drug discovery single-cell datasets now have their first systematic secretome training layer: Parse Biosciences and Nomic ...

For the first time, scientists have created a single-cell and spatial transcriptomics framework to investigate damage to individual cells. The method is based on a computer-assisted approach that ...

Spatial transcriptomics can reveal where thousands of genes are active across a tissue, creating molecular maps at single-cell resolution. But comparing two such maps is difficult: thin slices of ...

Exploring biology in its native environment is perhaps the ideal scenario for generating better hypotheses about the cellular interactions that influence—and drive—healthy and diseased states, ...

Single-cell atlas gives researchers a baseline for exploring how injury, aging, drugs, or other changes affect cells across ...

Discover how omics is transforming life sciences with expert insights from Dr. Shi-Qi An on multiomics, single-cell research and drug discovery.

Global Single-Cell Omics Market size is expected to be worth around US$ 9.4 Billion by 2034 from US$ 2.1 Billion in 2024 ...