Package: scBubbletree
Type: Package
Title: Quantitative visual exploration of scRNA-seq data
Version: 1.11.0
Authors@R: 
    person(given = "Simo",  
           family = "Kitanovski",
           role = c("aut", "cre"),
           email = "simokitanovski@gmail.com")
Description: scBubbletree is a quantitative method for the visual 
    exploration of scRNA-seq data, preserving key biological 
    properties such as local and global cell distances and cell 
    density distributions across samples. It effectively resolves 
    overplotting and enables the visualization of diverse cell 
    attributes from multiomic single-cell experiments. Additionally, 
    scBubbletree is user-friendly and integrates seamlessly with 
    popular scRNA-seq analysis tools, facilitating comprehensive 
    and intuitive data interpretation.
License: GPL-3 + file LICENSE
Depends: R (>= 4.2.0)
Imports: reshape2, BiocParallel, ape, scales, Seurat, ggplot2, ggtree,
        patchwork, proxy, methods, stats, base, utils, dplyr
Suggests: BiocStyle, knitr, testthat, cluster, SingleCellExperiment
Encoding: UTF-8
NeedsCompilation: no
biocViews: Visualization,Clustering, SingleCell,Transcriptomics,RNASeq
BugReports: https://github.com/snaketron/scBubbletree/issues
URL: https://github.com/snaketron/scBubbletree
SystemRequirements: Python (>= 3.6), leidenalg (>= 0.8.2)
RoxygenNote: 6.1.1
VignetteBuilder: knitr
git_url: https://git.bioconductor.org/packages/scBubbletree
git_branch: devel
git_last_commit: b55a5b7
git_last_commit_date: 2025-04-15
Repository: Bioconductor 3.22
Date/Publication: 2025-06-04
Packaged: 2025-06-05 01:58:16 UTC; biocbuild
Author: Simo Kitanovski [aut, cre]
Maintainer: Simo Kitanovski <simokitanovski@gmail.com>
Built: R 4.5.0; ; 2025-06-05 13:56:46 UTC; windows
