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SpatialArtifacts

Identification and Classification of Spatial Artifacts in Visium and Visium HD Data

Bioconductor version: 3.23 · Package version: 1.0.0

SpatialArtifacts provides a data-driven two-step workflow to identify, classify, and handle spatial artifacts in spatial transcriptomics data. The package combines median absolute deviation (MAD)-based outlier detection with morphological image processing (fill, outline, and star patterns) to detect edge and interior artifacts. It supports multiple platforms including 10x Genomics Visium (standard and HD), allowing for consistent quality control across different spatial resolutions.

Installation

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

BiocManager::install("SpatialArtifacts")

Details

MaintainerHarriet Jiali He <jhe46@jh.edu>
AuthorHarriet Jiali He [aut, cre] (ORCID: <https://orcid.org/0009-0003-7827-2735>), Jacqueline R. Thompson [aut], Michael Totty [aut], Stephanie C. Hicks [aut, fnd] (ORCID: <https://orcid.org/0000-0002-7858-0231>)
LicenseArtistic-2.0
URLhttps://github.com/CambridgeCat13/SpatialArtifacts
Bug Reportshttps://github.com/CambridgeCat13/SpatialArtifacts/issues
System Requirementsquarto, GDAL (>= 2.0.1), GEOS (>= 3.4.0), PROJ (>= 4.8.0)
Downloads rank56
Source branchRELEASE_3_23
biocViewsClassification, DataImport, QualityControl, Software, Spatial, Transcriptomics, WorkflowStep

Documentation

Download

Dependencies

Depends: R (>= 4.4.0)

Imports: SpatialExperiment, SummarizedExperiment, S4Vectors, scuttle, dplyr, terra, stats, methods

Suggests: BiocStyle, knitr, rmarkdown, BiocCheck, ggplot2, patchwork, testthat (>= 3.0.0)