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spicyR

This is thereleased version of spicyR; for the devel version, seespicyR.

Spatial analysis of in situ cytometry data

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DOI: 10.18129/B9.bioc.spicyR


Bioconductor version: Release (3.22)

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, entercitation("spicyR")):

Installation

To install this package, start R (version "4.5") and enter:

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

For older versions of R, please refer to the appropriateBioconductor 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 spicyHTMLR Script
Reference ManualPDF

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsCellBasedAssays,SingleCell,Software,Spatial
Version1.22.0
In Bioconductor sinceBioC 3.11 (R-4.0) (5.5 years)
LicenseGPL (>=2)
DependsR (>= 4.1)
ImportsBiocParallel,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/spicyRhttps://sydneybiox.github.io/spicyR/
Bug Reportshttps://github.com/SydneyBioX/spicyR/issues
See More
SuggestsSpatialDatasets,BiocStyle,knitr,rmarkdown,pkgdown,imcRtools,testthat (>= 3.0.0)
Linking To
Enhances
Depends On Me
Imports MelisaClust, OSTA
Suggests MeStatial,spicyWorkflow
Links To Me
Build ReportBuild Report

Package Archives

FollowInstallation instructions to use this package in your R session.

Source PackagespicyR_1.22.0.tar.gz
Windows Binary (x86_64) spicyR_1.22.0.zip (64-bit only)
macOS Binary (x86_64)spicyR_1.22.0.tgz
macOS Binary (arm64)spicyR_1.22.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/spicyR
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/spicyR
Bioc Package Browserhttps://code.bioconductor.org/browse/spicyR/
Package Short Urlhttps://bioconductor.org/packages/spicyR/
Package Downloads ReportDownload Stats

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