SpaceMarkers
Spatial Interaction Markers
Bioconductor version: 3.24 · Package version: 2.3.1
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
| Maintainer | Atul Deshpande <adeshpande@jhu.edu> |
| Author | Atul Deshpande [aut, cre] (ORCID: <https://orcid.org/0000-0001-5144-6924>), Orian Stapleton [aut], Ludmila Danilova [ctb], Dmitrijs Lvovs [ctb] (ORCID: <https://orcid.org/0009-0003-2152-6853>) |
| License | MIT + file LICENSE |
| URL | https://github.com/DeshpandeLab/SpaceMarkers |
| Bug Reports | https://github.com/DeshpandeLab/SpaceMarkers/issues |
| Downloads rank | 325 |
| Source branch | devel |
| biocViews | GeneExpression, SingleCell, Software, Spatial, Transcriptomics |
Documentation
- Inferring Immune Interactions in Breast Cancer
- SpaceMarkers Functions Step-by-Step
- SpaceMarkers with SpatialExperiment Objects
Download
Follow the installation instructions to use this package in your R session.
| Source package | SpaceMarkers_2.3.1.tar.gz |
| Windows binary (x86_64) | SpaceMarkers_2.3.1.zip |
| macOS binary (arm64) | SpaceMarkers_2.3.1.tgz |
| macOS binary (x86_64) | SpaceMarkers_2.3.1.tgz |
Dependencies
Depends: R (>= 4.4.0)
Imports: SpatialExperiment, SingleCellExperiment, SummarizedExperiment, S4Vectors, 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, BiocFileCache, testthat (>= 3.0.0), CoGAPS, ComplexHeatmap, zellkonverter, anndataR
Enhances: BiocParallel