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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "scBubbletree" in publications use:'
type: software
license: GPL-3.0-only
title: 'scBubbletree: Quantitative visual exploration of scRNA-seq data'
version: 1.14.0
doi: 10.1186/s12859-024-05927-y
identifiers:
- type: doi
  value: 10.32614/CRAN.package.scBubbletree
abstract: 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.
authors:
- family-names: Kitanovski
  given-names: Simo
  email: simokitanovski@gmail.com
preferred-citation:
  type: article
  title: 'scBubbletree: computational approach for visualization of single cell RNA-seq
    data'
  authors:
  - family-names: Kitanovski
    given-names: Simo
    email: simokitanovski@gmail.com
  - family-names: Cao
    given-names: Yingying
  - family-names: Ttoouli
    given-names: Dimitris
  - family-names: Farahpour
    given-names: Farnoush
  - family-names: Wang
    given-names: Jun
  - family-names: Hoffmann
    given-names: Daniel
  year: '2024'
  journal: BMC Bioinformatics
  doi: 10.1186/s12859-024-05927-y
  issue: '-634'
repository: https://bioc-release.r-universe.dev
repository-code: https://github.com/snaketron/scBubbletree
commit: 9b62c0acae7b236205da290926bda56c53343870
url: https://github.com/snaketron/scBubbletree
date-released: '2026-04-28'
contact:
- family-names: Kitanovski
  given-names: Simo
  email: simokitanovski@gmail.com