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SpotClean

SpotClean adjusts for spot swapping in spatial transcriptomics data

Bioconductor version: 3.23 · Package version: 1.14.0

SpotClean is a computational method to adjust for spot swapping in spatial transcriptomics data. Recent spatial transcriptomics experiments utilize slides containing thousands of spots with spot-specific barcodes that bind mRNA. Ideally, unique molecular identifiers at a spot measure spot-specific expression, but this is often not the case due to bleed from nearby spots, an artifact we refer to as spot swapping. SpotClean is able to estimate the contamination rate in observed data and decontaminate the spot swapping effect, thus increase the sensitivity and precision of downstream analyses.

Installation

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

BiocManager::install("SpotClean")

Details

MaintainerZijian Ni <zni25@wisc.edu>
AuthorZijian Ni [aut, cre] (ORCID: <https://orcid.org/0000-0003-1181-8337>), Christina Kendziorski [ctb]
LicenseGPL-3
URLhttps://github.com/zijianni/SpotClean
Bug Reportshttps://github.com/zijianni/SpotClean/issues
Downloads rank430
Source branchRELEASE_3_23
biocViewsDataImport, GeneExpression, Preprocessing, RNASeq, Sequencing, SingleCell, Software, Spatial, Transcriptomics

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packageSpotClean_1.14.0.tar.gz
Windows binary (x86_64)SpotClean_1.14.0.zip
macOS binary (arm64)SpotClean_1.14.0.tgz
macOS binary (x86_64)SpotClean_1.14.0.tgz
Dependencies

Depends: R (>= 4.2.0)

Imports: stats, methods, utils, dplyr, S4Vectors, SummarizedExperiment, SpatialExperiment, Matrix, rhdf5, ggplot2, grid, readbitmap, rjson, tibble, viridis, grDevices, RColorBrewer, Seurat, rlang

Suggests: testthat (>= 2.1.0), knitr, BiocStyle, rmarkdown, R.utils, spelling