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ggspavis

Visualization functions for spatial transcriptomics data

Bioconductor version: 3.23 · Package version: 1.18.1

Visualization functions for spatial transcriptomics data. Includes functions to generate several types of plots, including spot plots, feature (molecule) plots, reduced dimension plots, spot-level quality control (QC) plots, and feature-level QC plots, for datasets from the 10x Genomics Visium and other technological platforms. Datasets are assumed to be in either SpatialExperiment or SingleCellExperiment format.

Installation

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

BiocManager::install("ggspavis")

Details

MaintainerLukas M. Weber <weberlm3@gmail.com>
AuthorLukas M. Weber [aut, cre] (ORCID: <https://orcid.org/0000-0002-3282-1730>), Helena L. Crowell [aut] (ORCID: <https://orcid.org/0000-0002-4801-1767>), Yixing E. Dong [aut] (ORCID: <https://orcid.org/0009-0003-5115-5686>)
LicenseMIT + file LICENSE
URLhttps://github.com/lmweber/ggspavis
Bug Reportshttps://github.com/lmweber/ggspavis/issues
Downloads rank561
Source branchRELEASE_3_23
biocViewsDimensionReduction, GeneExpression, QualityControl, SingleCell, Software, Spatial, Transcriptomics

Documentation

Download

Dependencies

Depends: ggplot2

Imports: SpatialExperiment, SingleCellExperiment, SummarizedExperiment, ggside, grid, ggrepel, RColorBrewer, scales, grDevices, methods, stats

Suggests: BiocStyle, rmarkdown, knitr, OSTA.data, VisiumIO, arrow, STexampleData, BumpyMatrix, scater, scran, uwot, testthat, patchwork

Reverse dependencies

Suggests Me (3): GSVA, HCATonsilData, smoothclust