DOI: 10.18129/B9.bioc.Nebulosa  

This package is for version 3.16 of Bioconductor; for the stable, up-to-date release version, see Nebulosa.

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

Bioconductor version: 3.16

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.

Author: Jose Alquicira-Hernandez [aut, cre]

Maintainer: Jose Alquicira-Hernandez <alquicirajose at>

Citation (from within R, enter citation("Nebulosa")):


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HTML R Script Visualization of gene expression with Nebulosa
HTML R Script Visualization of gene expression with Nebulosa (in Seurat)
PDF   Reference Manual
Text   NEWS


biocViews DimensionReduction, GeneExpression, SingleCell, Software, Visualization
Version 1.8.0
In Bioconductor since BioC 3.12 (R-4.0) (2.5 years)
License GPL-3
Depends R (>= 4.0), ggplot2, patchwork
Imports Seurat, SingleCellExperiment, SummarizedExperiment, ks, Matrix, stats, methods
Suggests testthat, BiocStyle, knitr, rmarkdown, covr, scater, scran, DropletUtils, igraph, BiocFileCache, SeuratObject
Depends On Me
Imports Me
Suggests Me scCustomize, SCpubr
Links To Me
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