spacexr
spacexr analyzes cell types in spatial transcriptomics data.
Key Features:
- RCTD implementation: Learns cell type profiles from annotated RNA sequencing (RNA-seq) reference data and uses these profiles to identify cell types in spatial transcriptomic pixels while accounting for platform-specific effects.
- Bioconductor integration: Adapted to work with Bioconductor objects.
Scientific Applications:
- Cell type identification: Identifies cell types in spatial transcriptomic pixels using learned profiles from annotated reference data.
Methodology:
RCTD learns cell type profiles from annotated RNA-seq reference data and applies these profiles to identify cell types in spatial transcriptomic pixels while accounting for platform-specific effects.
Collections
Details
- License:
- GPL-3.0-or-later
- Tool Type:
- command-line tool, library
- Operating Systems:
- Linux, Mac, Windows
- Programming Languages:
- R
- Added:
- 8/30/2026
- Last Updated:
- 8/30/2026
Operations
Publications
Documentation
User manual
https://bioconductor.org/packages/spacexrDownloads
- Source codehttps://github.com/ggrajeda/spacexr