Package: Nebulosa
Type: Package
Title: Single-Cell Data Visualisation Using Kernel Gene-Weighted Density 
    Estimation
Version: 1.21.0
Authors@R: c(person("Jose", "Alquicira-Hernandez", 
    email = "alquicirajose@gmail.com",
    role = c("aut", "cre"), 
    comment = c(ORCID = "0000-0002-9049-7780")))
Description: 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.
URL: https://github.com/powellgenomicslab/Nebulosa
BugReports: https://github.com/powellgenomicslab/Nebulosa/issues
License: GPL-3
Encoding: UTF-8
Depends:
    R (>= 4.0),
    ggplot2,
    patchwork
Imports:
    SingleCellExperiment,
    SummarizedExperiment,
    SeuratObject,
    ks,
    Matrix,
    stats, 
    methods,
    ggrastr
RoxygenNote: 7.2.3
VignetteBuilder: knitr
Suggests: 
    testthat, BiocStyle, knitr, rmarkdown, covr, scater, scran, DropletUtils,
    igraph, BiocFileCache, Seurat
biocViews: 
    Software, GeneExpression, SingleCell, Visualization, 
    DimensionReduction
git_url: https://git.bioconductor.org/packages/Nebulosa
git_branch: devel
git_last_commit: 7bc1fc4
git_last_commit_date: 2025-10-29
Repository: Bioconductor 3.23
