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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 "recall" in publications use:'
type: software
license: MIT
title: 'recall: Calibrated Clustering with Artificial Variables to Avoid Over-Clustering
  in Single-Cell RNA-Sequencing'
version: 0.1.0
doi: 10.32614/CRAN.package.recall
abstract: recall (Calibrated Clustering with Artificial Variables) is a method for
  protecting against over-clustering by controlling for the impact of double-dipping.
  The approach can be applied to any clustering algorithm (implemented are the Louvain
  and Leiden algorithms with plans for K-means, and hierarchical clustering algorithms).
  The method provides state-of-the-art clustering performance and can rapidly analyze
  large-scale scRNA-seq studies and is compatible with the Seurat library (V4 and
  V5).
authors:
- family-names: Liu
  given-names: Zaoqu
  email: liuzaoqu@163.com
  orcid: https://orcid.org/0000-0002-0452-742X
repository: https://zaoqu-liu.r-universe.dev
repository-code: https://github.com/Zaoqu-Liu/recall
commit: ebad0cdf9754bb32a3a756d5af31e7df8fad97c3
url: https://zaoqu-liu.github.io/recall/
date-released: '2026-01-23'
contact:
- family-names: Liu
  given-names: Zaoqu
  email: liuzaoqu@163.com
  orcid: https://orcid.org/0000-0002-0452-742X