DOI: 10.18129/B9.bioc.Voyager    

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

From geospatial to spatial omics

Bioconductor version: Development (3.17)

Voyager to SpatialFeatureExperiment (SFE) is just like scater to SingleCellExperiment. While SFE is a new S4 class, Voyager 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. Voyager 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] , Lior Pachter [aut, ths]

Maintainer: Lambda Moses <dlu2 at>

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


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biocViews GeneExpression, Software, Spatial, Transcriptomics, Visualization
Version 1.1.0
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, Matrix, methods, patchwork, rlang, S4Vectors, scales, scico, sf, SingleCellExperiment, SpatialExperiment, SpatialFeatureExperiment, spdep, stats, SummarizedExperiment
Suggests BiocSingular, BiocStyle, cowplot, ExperimentHub, hexbin, knitr, rmarkdown, scater, scattermore, scran, SFEData, sparseMatrixStats, testthat (>= 3.0.0), vdiffr
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