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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 "corral" in publications use:'
type: software
license: GPL-2.0-only
title: 'corral: Correspondence Analysis for Single Cell Data'
version: 1.15.0
doi: 10.1038/s41598-022-26434-1
abstract: Correspondence analysis (CA) is a matrix factorization method, and is similar
  to principal components analysis (PCA). Whereas PCA is designed for application
  to continuous, approximately normally distributed data, CA is appropriate for non-negative,
  count-based data that are in the same additive scale. The corral package implements
  CA for dimensionality reduction of a single matrix of single-cell data, as well
  as a multi-table adaptation of CA that leverages data-optimized scaling to align
  data generated from different sequencing platforms by projecting into a shared latent
  space. corral utilizes sparse matrices and a fast implementation of SVD, and can
  be called directly on Bioconductor objects (e.g., SingleCellExperiment) for easy
  pipeline integration. The package also includes additional options, including variations
  of CA to address overdispersion in count data (e.g., Freeman-Tukey chi-squared residual),
  as well as the option to apply CA-style processing to continuous data (e.g., proteomic
  TOF intensities) with the Hellinger distance adaptation of CA.
authors:
- family-names: Hsu
  given-names: Lauren
  email: lrnshoe@gmail.com
  orcid: https://orcid.org/0000-0002-6035-7381
- family-names: Culhane
  given-names: Aedin
  email: Aedin.Culhane@ul.ie
  orcid: https://orcid.org/0000-0002-1395-9734
preferred-citation:
  type: article
  title: Correspondence analysis for dimension reduction, batch integration, and visualization
    of single-cell RNA-seq data
  authors:
  - family-names: Hsu
    given-names: Lauren L.
  - family-names: Culhane
    given-names: Aedin C.
  year: '2023'
  journal: Scientific Reports
  doi: 10.1038/s41598-022-26434-1
  issue: '13'
  url: https://www.nature.com/articles/s41598-022-26434-1
repository: https://bioc.r-universe.dev
date-released: '2023-02-09'
contact:
- family-names: Hsu
  given-names: Lauren
  email: lrnshoe@gmail.com
  orcid: https://orcid.org/0000-0002-6035-7381