Bioconductor 3.22 Released

spicyR

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

Spatial analysis of in situ cytometry data


Bioconductor version: Development (3.23)

The spicyR package provides a framework for performing inference on changes in spatial relationships between pairs of cell types for cell-resolution spatial omics technologies. spicyR consists of three primary steps: (i) summarizing the degree of spatial localization between pairs of cell types for each image; (ii) modelling the variability in localization summary statistics as a function of cell counts and (iii) testing for changes in spatial localizations associated with a response variable.

Author: Nicolas Canete [aut], Ellis Patrick [aut, cre], Nicholas Robertson [ctb], Alex Qin [ctb], Farhan Ameen [ctb], Shreya Rao [ctb]

Maintainer: Ellis Patrick <ellis.patrick at sydney.edu.au>

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

Installation

To install this package, start R (version "4.6") and enter:


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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("spicyR")

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

Documentation

Reference Manual PDF

Details

biocViews CellBasedAssays, SingleCell, Software, Spatial
Version 1.23.0
In Bioconductor since BioC 3.11 (R-4.0) (5.5 years)
License GPL (>=2)
Depends R (>= 4.1)
Imports BiocParallel, ClassifyR, S4Vectors, SingleCellExperiment, SpatialExperiment, SummarizedExperiment, cli, concaveman, coxme, data.table, dplyr, ggforce, ggh4x, ggnewscale, ggplot2, ggthemes, grDevices, lifecycle, lmerTest, magrittr, methods, pheatmap, rlang, scales, scam, simpleSeg, spatstat.explore, spatstat.geom, stats, survival, tibble, tidyr
System Requirements
URL https://ellispatrick.github.io/spicyR/https://github.com/SydneyBioX/spicyR https://sydneybiox.github.io/spicyR/
Bug Reports https://github.com/SydneyBioX/spicyR/issues
See More
Suggests SpatialDatasets, BiocStyle, knitr, rmarkdown, pkgdown, imcRtools, 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)
Source Repository git clone https://git.bioconductor.org/packages/spicyR
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/spicyR
Package Short Url https://bioconductor.org/packages/spicyR/
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