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spicyR

This is the released version of spicyR; for the devel version, see spicyR.

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11

Spatial analysis of in situ cytometry data


Bioconductor version: Release (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")):

Nicolas Canete, Ellis Patrick. spicyR: Spatial analysis of in situ cytometry data. doi:10.18129/B9.bioc.spicyR, R package version 1.24.0, https://bioconductor.org/packages/spicyR.

Generated from the package metadata; it may differ from the package's own citation.

Installation

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

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

BiocManager::install("spicyR")

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("spicyR")
"Spatial Linear and Mixed-Effects Modelling with spicy" HTML R Script
Reference ManualPDF

Details

biocViews CellBasedAssays, SingleCell, Software, Spatial
Version1.24.0
In Bioconductor sinceBioC 3.11 (R-4.0) (6.5 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
URLhttps://ellispatrick.github.io/spicyR/ https://github.com/SydneyBioX/spicyR https://sydneybiox.github.io/spicyR/
Bug Reportshttps://github.com/SydneyBioX/spicyR/issues
See More
Suggests SpatialDatasets, BiocStyle, knitr, rmarkdown, pkgdown, imcRtools, testthat (>= 3.0.0)
Linking To
Enhances
Depends On Me
Imports Me lisaClust, OSTA
Suggests Me Statial
Links To Me
Build Report Build Report, r-universe

Package Archives

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

Source Package spicyR_1.24.0.tar.gz
Windows Binary (x86_64) spicyR_1.24.0.zip
macOS Binary (big-sur-x86_64) spicyR_1.24.0.tgz
macOS Binary (sonoma-arm64) spicyR_1.24.0.tgz
Source Repositorygit 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/
Package Downloads ReportDownload Stats