This package is for version 3.16 of Bioconductor; for the stable, up-to-date release version, see Voyager.
Bioconductor version: 3.16
SpatialFeatureExperiment (SFE) is a new S4 class for working with spatial single-cell genomics data. The voyager package implements basic exploratory spatial data analysis (ESDA) methods for SFE. This first version supports univariate global spatial ESDA methods such as Moran's I, permutation testing for Moran's I, and correlograms. The Voyager package also implements plotting functions to plot SFE data and ESDA results. Multivariate ESDA and univariate local metrics will be added in later versions.
Author: Lambda Moses [aut, cre] , Kayla Jackson [aut] , Lior Pachter [aut, rev]
Maintainer: Lambda Moses <dlu2 at caltech.edu>
Citation (from within R,
enter citation("Voyager")
):
To install this package, start R (version "4.2") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("Voyager")
For older versions of R, please refer to the appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("Voyager")
HTML | R Script | Functionality overview |
Reference Manual | ||
Text | NEWS |
biocViews | GeneExpression, Software, Spatial, Transcriptomics, Visualization |
Version | 1.0.10 |
In Bioconductor since | BioC 3.16 (R-4.2) (< 6 months) |
License | Artistic-2.0 |
Depends | R (>= 4.2.0) |
Imports | BiocParallel, bluster, ggnewscale, ggplot2 (>= 3.4.0), Matrix, methods, patchwork, rlang, S4Vectors, scales, scico, sf, SingleCellExperiment, SpatialExperiment, SpatialFeatureExperiment, spdep, stats, SummarizedExperiment |
LinkingTo | |
Suggests | BiocSingular, BiocStyle, cowplot, dbscan, ExperimentHub, hexbin, knitr, rmarkdown, scater, scattermore, scran, SFEData, sparseMatrixStats, testthat (>= 3.0.0), vdiffr |
SystemRequirements | |
Enhances | |
URL | https://github.com/pachterlab/voyager |
BugReports | https://github.com/pachterlab/voyager/issues |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | Voyager_1.0.10.tar.gz |
Windows Binary | Voyager_1.0.10.zip |
macOS Binary (x86_64) | Voyager_1.0.10.tgz |
macOS Binary (arm64) | Voyager_1.0.10.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/Voyager |
Source Repository (Developer Access) | git clone [email protected]:packages/Voyager |
Bioc Package Browser | https://code.bioconductor.org/browse/Voyager/ |
Package Short Url | https://bioconductor.org/packages/Voyager/ |
Package Downloads Report | Download Stats |
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