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SpaceTrooper

SpaceTrooper performs Quality Control analysis of Image-Based spatial

Bioconductor version: 3.23 · Package version: 1.2.0

SpaceTrooper performs Quality Control analysis using data driven GLM models of Image-Based spatial data, providing exploration plots, QC metrics computation, outlier detection. It implements a GLM strategy for the detection of low quality cells in imaging-based spatial data (Transcriptomics and Proteomics). It additionally implements several plots for the visualization of imaging based polygons through the ggplot2 package.

Installation

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

BiocManager::install("SpaceTrooper")

Details

MaintainerDario Righelli <dario.righelli@gmail.com>
AuthorDario Righelli [aut, cre] (ORCID: <https://orcid.org/0000-0003-1504-3583>), Benedetta Banzi [aut], Matteo Marchionni [aut], Oriana Romano [ctb], Mattia Forcato [ctb], Silvio Bicciato [aut], Davide Risso [ctb]
LicenseMIT + file LICENSE
URLhttps://github.com/drighelli/SpaceTrooper
Bug Reportshttps://github.com/drighelli/SpaceTrooper/issues
Downloads rank189
Source branchRELEASE_3_23
biocViewsDataImport, GeneExpression, ImmunoOncology, QualityControl, SingleCell, Software, Spatial, Transcriptomics

Documentation

Download

Dependencies

Depends: R (>= 4.4.0), SpatialExperiment

Imports: DropletUtils, S4Vectors, SummarizedExperiment, arrow, data.table, dplyr, e1071, ggplot2, ggpubr, robustbase, scater, scuttle, sf, sfheaders, cowplot, glmnet, rhdf5, methods, rlang, SpatialExperimentIO

Suggests: knitr, rmarkdown, BiocStyle, testthat (>= 3.0.0), withr, viridis