CellGeometry introduces a fast, geometry-based computational approach for deconvoluting bulk RNA-Seq using single-cell reference signatures; readers will find a methods-focused article explaining its design and benchmarking.
Key Takeaways
- Validated against real bulk RNA blood and tissue samples, cellGeometry produces more accurate and realistic results
- Please note there may be errors present which affect the content, and all legal disclaimers apply
- Single-cell analysis has rapidly expanded to produce cell atlases encompassing all human tissues