SpotSweeper
Spatially-aware quality control for spatial transcriptomics
Bioconductor version: 3.23 · Package version: 1.8.0
Spatially-aware quality control (QC) software for both spot-level and artifact-level QC in spot-based spatial transcripomics, such as 10x Visium. These methods calculate local (nearest-neighbors) mean and variance of standard QC metrics (library size, unique genes, and mitochondrial percentage) to identify outliers spot and large technical artifacts.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("SpotSweeper") Details
| Maintainer | Michael Totty <mictott@gmail.com> |
| Author | Michael Totty [aut, cre] (ORCID: <https://orcid.org/0000-0002-9292-8556>), Stephanie Hicks [aut] (ORCID: <https://orcid.org/0000-0002-7858-0231>), Boyi Guo [aut] (ORCID: <https://orcid.org/0000-0003-2950-2349>) |
| License | MIT + file LICENSE |
| URL | https://github.com/MicTott/SpotSweeper |
| Bug Reports | https://support.bioconductor.org/tag/SpotSweeper |
| Downloads rank | 316 |
| Source branch | RELEASE_3_23 |
| biocViews | GeneExpression, QualityControl, Software, Spatial, Transcriptomics |
Documentation
Download
Dependencies
Depends: R (>= 4.4.0)
Imports: SpatialExperiment, SummarizedExperiment, BiocNeighbors, SingleCellExperiment, stats, escheR, MASS, ggplot2, spatialEco, grDevices, BiocParallel
Suggests: knitr, BiocStyle, rmarkdown, scuttle, STexampleData, ggpubr, testthat (>= 3.0.0)