RegionalST

This is the development version of RegionalST; for the stable release version, see RegionalST.

Investigating regions of interest and performing regional cell type-specific analysis with spatial transcriptomics data


Bioconductor version: Development (3.21)

This package analyze spatial transcriptomics data through cross-regional cell type-specific analysis. It selects regions of interest (ROIs) and identifys cross-regional cell type-specific differential signals. The ROIs can be selected using automatic algorithm or through manual selection. It facilitates manual selection of ROIs using a shiny application.

Author: Ziyi Li [aut, cre]

Maintainer: Ziyi Li <zli16 at mdanderson.org>

Citation (from within R, enter citation("RegionalST")):

Installation

To install this package, start R (version "4.5") and enter:


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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("RegionalST")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

Reference Manual PDF

Details

biocViews KEGG, Reactome, Software, Spatial, Transcriptomics
Version 1.5.5
In Bioconductor since BioC 3.18 (R-4.3) (1 year)
License GPL-3
Depends R (>= 4.3.0)
Imports stats, grDevices, utils, ggplot2, dplyr, scater, gridExtra, BiocStyle, BayesSpace, fgsea, magrittr, SingleCellExperiment, RColorBrewer, Seurat, S4Vectors, tibble, TOAST, assertthat, colorspace, shiny, SummarizedExperiment
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Suggests knitr, rmarkdown, gplots, testthat (>= 3.0.0)
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Follow Installation instructions to use this package in your R session.

Source Package
Windows Binary (x86_64)
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/RegionalST
Source Repository (Developer Access) git clone [email protected]:packages/RegionalST
Package Short Url https://bioconductor.org/packages/RegionalST/
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