Bioc2026 Registration Open!

SpatialDecon

Deconvolution of mixed cells from spatial and/or bulk gene expression data

Bioconductor version: 3.24 · Package version: 1.23.0

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

MaintainerMaddy Griswold <mgriswold@nanostring.com>
AuthorMaddy Griswold [cre, aut], Patrick Danaher [aut]
LicenseMIT + file LICENSE
Bug Reportshttps://github.com/Nanostring-Biostats/SpatialDecon/issues
Downloads rank576
Source branchdevel
biocViewsFeatureExtraction, GeneExpression, ImmunoOncology, Software, Spatial, Transcriptomics

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packageSpatialDecon_1.23.0.tar.gz
Windows binary (x86_64)SpatialDecon_1.23.0.zip
macOS binary (arm64)SpatialDecon_1.23.0.tgz
macOS binary (x86_64)SpatialDecon_1.23.0.tgz
Dependencies

Depends: R (>= 4.0.0)

Imports: grDevices, stats, utils, graphics, SeuratObject, Biobase, GeomxTools, repmis, methods, Matrix, logNormReg (>= 0.4)

Suggests: testthat, knitr, rmarkdown, qpdf, Seurat

Reverse dependencies

Suggests Me (1): GeomxTools