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
| Maintainer | Harriet Jiali He <jhe46@jh.edu> |
| Author | Harriet 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>) |
| License | Artistic-2.0 |
| URL | https://github.com/CambridgeCat13/SpatialArtifacts |
| Bug Reports | https://github.com/CambridgeCat13/SpatialArtifacts/issues |
| System Requirements | quarto, GDAL (>= 2.0.1), GEOS (>= 3.4.0), PROJ (>= 4.8.0) |
| Downloads rank | 56 |
| Source branch | RELEASE_3_23 |
| biocViews | Classification, 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)