# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
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: 1.7.17
abstract: scBubbletree is a quantitative method for visual exploration of scRNA-seq
  data. It preserves biologically meaningful properties of scRNA-seq data, such as
  local and global cell distances, as well as the density distribution of cells across
  the sample. scBubbletree is scalable and avoids the overplotting problem, and is
  able to visualize diverse cell attributes derived from multiomic single-cell experiments.
  Importantly, Importantly, scBubbletree is easy to use and to integrate with popular
  approaches for scRNA-seq data analysis.
authors:
- family-names: Kitanovski
  given-names: Simo
  email: simokitanovski@gmail.com
repository: https://bioc.r-universe.dev
repository-code: https://github.com/snaketron/scBubbletree
url: https://github.com/snaketron/scBubbletree
contact:
- family-names: Kitanovski
  given-names: Simo
  email: simokitanovski@gmail.com