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.

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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

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