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SpaceMarkers

Spatial Interaction Markers

Bioconductor version: 3.23 · Package version: 2.2.0

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.

Installation

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

BiocManager::install("SpaceMarkers")

Details

MaintainerAtul Deshpande <adeshpande@jhu.edu>
AuthorAtul Deshpande [aut, cre] (ORCID: <https://orcid.org/0000-0001-5144-6924>), Ludmila Danilova [ctb], Dmitrijs Lvovs [ctb] (ORCID: <https://orcid.org/0009-0003-2152-6853>)
LicenseMIT + file LICENSE
URLhttps://github.com/DeshpandeLab/SpaceMarkers
Bug Reportshttps://github.com/DeshpandeLab/SpaceMarkers/issues
Downloads rank174
Source branchRELEASE_3_23
biocViewsGeneExpression, SingleCell, Software, Spatial, Transcriptomics

Documentation

Download

Dependencies

Depends: R (>= 4.4.0)

Imports: matrixStats, matrixTests, rstatix, spatstat.explore, spatstat.geom, ape, hdf5r, nanoparquet, jsonlite, Matrix, qvalue, stats, utils, methods, ggplot2, reshape2, RColorBrewer, circlize, mixtools, dplyr, readbitmap, rlang, effsize, viridis

Suggests: data.table, devtools, knitr, cowplot, rjson, rmarkdown, BiocStyle, testthat (>= 3.0.0), CoGAPS, ComplexHeatmap

Enhances: BiocParallel