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scider

Spatial cell-type inter-correlation by density in R

Bioconductor version: 3.23 · Package version: 1.10.0

scider is an user-friendly R package providing functions to model the global density of cells in a slide of spatial transcriptomics data. All functions in the package are built based on the SpatialExperiment object, allowing integration into various spatial transcriptomics-related packages from Bioconductor. After modelling density, the package allows for several downstream analysis, including colocalization analysis, boundary detection analysis and differential density analysis.

Installation

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

BiocManager::install("scider")

Details

MaintainerYunshun Chen <yuchen@wehi.edu.au>
AuthorMengbo Li, Ning Liu, Quoc Hoang Nguyen, Yunshun Chen
LicenseGPL-3 + file LICENSE
URLhttps://github.com/ChenLaboratory/scider, https://chenlaboratory.github.io/scider/
Bug Reportshttps://github.com/ChenLaboratory/scider/issues
Downloads rank228
Source branchRELEASE_3_23
biocViewsSoftware, Spatial, Transcriptomics

Documentation

Download

Dependencies

Depends: R (>= 4.3)

Imports: SpatialExperiment, SummarizedExperiment, spatstat.geom, spatstat.explore, sf, lwgeom, SpatialPack, ggplot2, stats, pheatmap, plotly, shiny, igraph, janitor, knitr, methods, utils, isoband, S4Vectors, grDevices, dbscan, hexDensity, hexbin, uwot, SingleCellExperiment, BiocNeighbors, irlba, DropletUtils, arrow, RBioFormats, Matrix

Suggests: edgeR, testthat (>= 3.0.0)