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Nebulosa

Single-Cell Data Visualisation Using Kernel Gene-Weighted Density Estimation

Bioconductor version: 3.23 · Package version: 1.22.0

This package provides a enhanced visualization of single-cell data based on gene-weighted density estimation. Nebulosa recovers the signal from dropped-out features and allows the inspection of the joint expression from multiple features (e.g. genes). Seurat and SingleCellExperiment objects can be used within Nebulosa.

Installation

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

BiocManager::install("Nebulosa")

Details

MaintainerJose Alquicira-Hernandez <alquicirajose@gmail.com>
AuthorJose Alquicira-Hernandez [aut, cre] (ORCID: <https://orcid.org/0000-0002-9049-7780>)
LicenseGPL-3
URLhttps://github.com/powellgenomicslab/Nebulosa
Bug Reportshttps://github.com/powellgenomicslab/Nebulosa/issues
Downloads rank1580
Source branchRELEASE_3_23
biocViewsDimensionReduction, GeneExpression, SingleCell, Software, Visualization

Documentation

Download

Dependencies

Depends: R (>= 4.0), ggplot2, patchwork

Imports: SingleCellExperiment, SummarizedExperiment, SeuratObject, ks, Matrix, stats, methods, ggrastr

Suggests: testthat, BiocStyle, knitr, rmarkdown, covr, scater, scran, DropletUtils, igraph, BiocFileCache, Seurat

Reverse dependencies

Suggests Me (2): scCustomize, SCpubr