Package: Nebulosa
Type: Package
Title: Single-Cell Data Visualisation Using Kernel Gene-Weighted
        Density Estimation
Version: 1.0.2
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
LazyData: true
Depends: R (>= 4.0), ggplot2, patchwork
Imports: Seurat, SingleCellExperiment, SummarizedExperiment,
        SeuratObject, ks, Matrix, stats, methods
RoxygenNote: 7.1.1
VignetteBuilder: knitr
Suggests: testthat, BiocStyle, knitr, rmarkdown, covr, scater, scran,
        DropletUtils, igraph, BiocFileCache
biocViews: Software, GeneExpression, SingleCell, Visualization,
        DimensionReduction
git_url: https://git.bioconductor.org/packages/Nebulosa
git_branch: RELEASE_3_12
git_last_commit: 0cdc5b6
git_last_commit_date: 2021-03-23
Date/Publication: 2021-03-23
NeedsCompilation: no
Packaged: 2021-03-24 02:26:02 UTC; biocbuild
Author: Jose Alquicira-Hernandez [aut, cre]
    (<https://orcid.org/0000-0002-9049-7780>)
Maintainer: Jose Alquicira-Hernandez <alquicirajose@gmail.com>
Built: R 4.0.4; ; 2021-03-24 14:00:13 UTC; windows
