SpatialDecon
SpatialDecon estimates abundance of mixed cell types within each observation using spatial or bulk gene expression data.
Key Features:
- Cell Type Deconvolution: Estimates abundance of mixed cell types within each observation from spatial or bulk gene expression data.
- Platform Compatibility: Designed for use with the NanoString GeoMx platform, but applicable to any gene expression data.
Scientific Applications:
- Spatial Transcriptomics Analysis: Enables quantification of cell types in spatial transcriptomic data.
- Bulk Gene Expression Deconvolution: Applicable to bulk gene expression data for mixed cell type estimation.
Methodology:
Based on "Advances in mixed cell deconvolution enable quantification of cell types in spatial transcriptomic data", Danaher (2022).
Collections
Details
- License:
- MIT
- Tool Type:
- command-line tool, library
- Operating Systems:
- Linux, Mac, Windows
- Programming Languages:
- R
- Added:
- 9/1/2026
- Last Updated:
- 9/1/2026