SpaceMarkers

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

Spatial Interaction Markers


Bioconductor version: Development (3.21)

Spatial transcriptomic technologies have helped to resolve the connection between gene expression and the 2D orientation of tissues relative to each other. However, the limited single-cell resolution makes it difficult to highlight the most important molecular interactions in these tissues. SpaceMarkers, R/Bioconductor software, can help to find molecular interactions, by identifying genes associated with latent space interactions in spatial transcriptomics.

Author: Atul Deshpande [aut, cre] (ORCID: ), Ludmila Danilova [ctb], Dmitrijs Lvovs [ctb] (ORCID: )

Maintainer: Atul Deshpande <adeshpande at jhu.edu>

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

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("SpaceMarkers")

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

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("SpaceMarkers")
Inferring Immune Interactions in Breast Cancer HTML R Script
Reference Manual PDF
NEWS Text
LICENSE Text

Details

biocViews GeneExpression, SingleCell, Software, Spatial, Transcriptomics
Version 1.3.0
In Bioconductor since BioC 3.19 (R-4.4) (0.5 years)
License MIT + file LICENSE
Depends R (>= 4.4.0)
Imports matrixStats, matrixTests, rstatix, spatstat.explore, spatstat.geom, ape, hdf5r, jsonlite, Matrix, qvalue, stats, utils, methods
System Requirements
URL https://github.com/DeshpandeLab/SpaceMarkers
Bug Reports https://github.com/DeshpandeLab/SpaceMarkers/issues
See More
Suggests data.table, devtools, dplyr, ggplot2, hrbrthemes, knitr, RColorBrewer, cowplot, readbitmap, rjson, rmarkdown, BiocStyle, testthat (>= 3.0.0), viridis, CoGAPS
Linking To
Enhances BiocParallel
Depends On Me
Imports Me
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Package Archives

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

Source Package SpaceMarkers_1.3.0.tar.gz
Windows Binary (x86_64)
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/SpaceMarkers
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/SpaceMarkers
Bioc Package Browser https://code.bioconductor.org/browse/SpaceMarkers/
Package Short Url https://bioconductor.org/packages/SpaceMarkers/
Package Downloads Report Download Stats