RegionalST

This is the released version of RegionalST; for the devel version, see RegionalST.

Investigating regions of interest and performing cross-regional analysis with spatial transcriptomics data


Bioconductor version: Release (3.20)

This package analyze spatial transcriptomics data through cross-regional 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 "4.4") and enter:


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

BiocManager::install("RegionalST")

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

Documentation

Reference Manual PDF
NEWS Text

Details

biocViews KEGG, Reactome, Software, Spatial, Transcriptomics
Version 1.3.0
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, BayesSpace, fgsea, magrittr, SingleCellExperiment, RColorBrewer, Seurat, S4Vectors, tibble, TOAST, assertthat, colorspace, shiny, SummarizedExperiment
System Requirements
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Suggests BiocStyle, knitr, rmarkdown, gplots, testthat (>= 3.0.0)
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package
Windows Binary (x86_64)
macOS Binary (x86_64)
macOS Binary (arm64) RegionalST_1.3.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/RegionalST
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/RegionalST
Bioc Package Browser https://code.bioconductor.org/browse/RegionalST/
Package Short Url https://bioconductor.org/packages/RegionalST/
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