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SpatialFeatureExperiment

Integrating SpatialExperiment with Simple Features in sf

Bioconductor version: 3.23 · Package version: 1.14.0

A new S4 class integrating Simple Features with the R package sf to bring geospatial data analysis methods based on vector data to spatial transcriptomics. Also implements management of spatial neighborhood graphs and geometric operations. This pakage builds upon SpatialExperiment and SingleCellExperiment, hence methods for these parent classes can still be used.

Installation

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

BiocManager::install("SpatialFeatureExperiment")

Details

MaintainerLambda Moses <dl3764@columbia.edu>
AuthorLambda Moses [aut, cre] (ORCID: <https://orcid.org/0000-0002-7092-9427>), Alik Huseynov [aut] (ORCID: <https://orcid.org/0000-0002-1438-4389>), Lior Pachter [aut, ths] (ORCID: <https://orcid.org/0000-0002-9164-6231>)
LicenseArtistic-2.0
URLhttps://pachterlab.github.io/SpatialFeatureExperiment
Bug Reportshttps://github.com/pachterlab/SpatialFeatureExperiment/issues
Downloads rank405
Source branchRELEASE_3_23
biocViewsDataRepresentation, Software, Spatial, Transcriptomics

Documentation

Download

Dependencies

Depends: R (>= 4.3.0)

Imports: Biobase, BiocGenerics (>= 0.51.2), BiocNeighbors, BiocParallel, data.table, DropletUtils, EBImage, grDevices, lifecycle, Matrix, methods, rjson, rlang, S4Vectors, sf, sfheaders, SingleCellExperiment, SpatialExperiment, spatialreg, spdep (>= 1.1-7), SummarizedExperiment, stats, terra, utils, zeallot

Suggests: arrow, BiocStyle, dplyr, gmp, knitr, OSTA.data, RBioFormats, rhdf5, rmarkdown, scater, sfarrow, SFEData (>= 1.5.3), Seurat, SeuratObject, sparseMatrixStats, testthat (>= 3.0.0), tidyr, VisiumIO, Voyager (>= 1.7.2), withr, xml2

Reverse dependencies

Depends On Me (2): alabaster.sfe, Voyager

Imports Me (1): TENxXeniumData

Suggests Me (6): concordexR, imageFeatureTCGA, imageTCGAutils, jazzPanda, SFEData, xenLite