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
| Maintainer | Lukas M. Weber <weberlm3@gmail.com> |
| Author | Lukas 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>) |
| License | MIT + file LICENSE |
| URL | https://github.com/lmweber/ggspavis |
| Bug Reports | https://github.com/lmweber/ggspavis/issues |
| Downloads rank | 561 |
| Source branch | RELEASE_3_23 |
| biocViews | DimensionReduction, GeneExpression, QualityControl, SingleCell, Software, Spatial, Transcriptomics |
Documentation
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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