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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 "OSCA.advanced" in publications use:'
type: software
license: CC-BY-4.0
title: 'OSCA.advanced: Advanced Single-Cell Analysis'
version: 1.21.0
doi: 10.32614/CRAN.package.OSCA.advanced
abstract: Deploys the advanced analysis chapters for the "Orchestrating Single Cell
  Analysis with Bioconductor" book. This describes the more complex steps of a single-cell
  RNA-seq analysis ranging from doublet detection, cell cycle assignment, specific
  steps for processing droplet data, nuclei-specific analyses, trajectory analyses,
  integrated analyses with protein abundances, and interactive visualization. It also
  elaborates on some of the basic analysis steps, focusing on alternative strategies
  and theoretical considerations. It is intended for readers who are already familiar
  with basic single-cell analyses, possibly after reading some of the prior books
  in this collection.
authors:
- family-names: Amezquita
  given-names: Robert
- family-names: Lun
  given-names: Aaron
- family-names: Hicks
  given-names: Stephanie
- family-names: Gottardo
  given-names: Raphael
- family-names: Geistlinger
  given-names: Ludwig
  email: ludwig_geistlinger@hms.harvard.edu
repository: https://tempbioc.r-universe.dev
repository-code: https://github.com/OSCA-source/OSCA.advanced
commit: 84c44efb72cfed29ab9e66d68ae4ea0763c02910
url: https://github.com/OSCA-source/OSCA.advanced
date-released: '2025-11-19'
contact:
- family-names: Geistlinger
  given-names: Ludwig
  email: ludwig_geistlinger@hms.harvard.edu