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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 "spqn" in publications use:'
type: software
license: Artistic-2.0
title: 'spqn: Spatial quantile normalization'
version: 1.17.0
doi: 10.1101/2020.02.13.944777
abstract: The spqn package implements spatial quantile normalization (SpQN). This
  method was developed to remove a mean-correlation relationship in correlation matrices
  built from gene expression data. It can serve as pre-processing step prior to a
  co-expression analysis.
authors:
- family-names: Wang
  given-names: Yi
  email: yiwangthu5@gmail.com
- family-names: Hansen
  given-names: Kasper Daniel
preferred-citation:
  type: article
  title: Co-expression analysis is biased by a mean-correlation relationship
  authors:
  - family-names: Wang
    given-names: Yi
    email: yiwangthu5@gmail.com
  - family-names: Hicks
    given-names: Stephanie C.
  - family-names: Hansen
    given-names: Kasper D.
  year: '2020'
  journal: bioRxiv
  doi: 10.1101/2020.02.13.944777
  start: 2020.02.13.944777
repository: https://bioc.r-universe.dev
repository-code: https://github.com/hansenlab/spqn
url: https://github.com/hansenlab/spqn
contact:
- family-names: Wang
  given-names: Yi
  email: yiwangthu5@gmail.com