SpatialDecon
Deconvolution of mixed cells from spatial and/or bulk gene expression data
Bioconductor version: 3.23 · Package version: 1.22.0
Using spatial or bulk gene expression data, estimates abundance of mixed cell types within each observation. Based on "Advances in mixed cell deconvolution enable quantification of cell types in spatial transcriptomic data", Danaher (2022). Designed for use with the NanoString GeoMx platform, but applicable to any gene expression data.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("SpatialDecon") Details
| Maintainer | Maddy Griswold <mgriswold@nanostring.com> |
| Author | Maddy Griswold [cre, aut], Patrick Danaher [aut] |
| License | MIT + file LICENSE |
| Bug Reports | https://github.com/Nanostring-Biostats/SpatialDecon/issues |
| Downloads rank | 409 |
| Source branch | RELEASE_3_23 |
| biocViews | FeatureExtraction, GeneExpression, ImmunoOncology, Software, Spatial, Transcriptomics |
Documentation
- Use of SpatialDecon in a large GeoMx dataset with GeomxTools
- Use of SpatialDecon in a small GeoMx dataset
Download
Dependencies
Depends: R (>= 4.0.0)
Imports: grDevices, stats, utils, graphics, SeuratObject, Biobase, GeomxTools, repmis, methods, Matrix, logNormReg (>= 0.4)
Reverse dependencies
Suggests Me (1): GeomxTools