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spatialSimGP

Simulate Spatial Transcriptomics Data with the Mean-variance Relationship

Bioconductor version: 3.24 · Package version: 1.7.0

Other Bioconductor versions

devel is the development version; release is the current stable one.

3.24 (devel), 3.23 (release)

This packages simulates spatial transcriptomics data with the mean- variance relationship using a Gaussian Process model per gene.

DOI: 10.18129/B9.bioc.spatialSimGP

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("spatialSimGP")

Details

MaintainerKinnary Shah <kinnaryshahh@gmail.com>
AuthorKinnary Shah [aut, cre] (ORCID: <https://orcid.org/0000-0001-7098-2116>), Boyi Guo [aut] (ORCID: <https://orcid.org/0000-0003-2950-2349>), Stephanie C. Hicks [aut] (ORCID: <https://orcid.org/0000-0002-7858-0231>)
LicenseMIT + file LICENSE
URLhttps://github.com/kinnaryshah/spatialSimGP
Bug Reportshttps://github.com/kinnaryshah/spatialSimGP/issues
Source branchdevel
Build report Bioconductor build system, r-universe
biocViewsGeneExpression, Software, Spatial, Transcriptomics
Package Short Url https://bioconductor.org/packages/spatialSimGP/

Citation

From within R, enter citation("spatialSimGP"):

Kinnary Shah, Boyi Guo, Stephanie C. Hicks. spatialSimGP: Simulate Spatial Transcriptomics Data with the Mean-variance Relationship. doi:10.18129/B9.bioc.spatialSimGP, R package version 1.7.0, https://bioconductor.org/packages/spatialSimGP.

Generated from the package metadata; it may differ from the package's own citation.

Documentation

Download

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

Source packagespatialSimGP_1.7.0.tar.gz
Windows binary (x86_64)spatialSimGP_1.7.0.zip
macOS binary (arm64)spatialSimGP_1.7.0.tgz
macOS binary (x86_64)spatialSimGP_1.7.0.tgz
Dependencies

Depends: R (>= 4.4)

Imports: SpatialExperiment, MASS, SummarizedExperiment

Suggests: testthat (>= 3.0.0), STexampleData, ggplot2, knitr