spatialSimGP
Simulate Spatial Transcriptomics Data with the Mean-variance Relationship
Bioconductor version: 3.24 · Package version: 1.7.0
This packages simulates spatial transcriptomics data with the mean- variance relationship using a Gaussian Process model per gene.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("spatialSimGP")Details
| Maintainer | Kinnary Shah <kinnaryshahh@gmail.com> |
| Author | Kinnary 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>) |
| License | MIT + file LICENSE |
| URL | https://github.com/kinnaryshah/spatialSimGP |
| Bug Reports | https://github.com/kinnaryshah/spatialSimGP/issues |
| Downloads rank | 273 |
| Source branch | devel |
| biocViews | GeneExpression, Software, Spatial, Transcriptomics |
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | spatialSimGP_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