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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 "scFeatureFilter" in publications use:'
type: software
license: MIT
title: 'scFeatureFilter: A correlation-based method for quality filtering of single-cell
  RNAseq data'
version: 1.25.0
doi: 10.1007/978-3-319-78723-7_31
abstract: An R implementation of the correlation-based method developed in the Joshi
  laboratory to analyse and filter processed single-cell RNAseq data. It returns a
  filtered version of the data containing only genes expression values unaffected
  by systematic noise.
authors:
- family-names: Arzalluz-Luque
  given-names: Angeles
  email: angeles.arzalluz@gmail.com
- family-names: Devailly
  given-names: Guillaume
  email: gdevailly@hotmail.com
- family-names: Joshi
  given-names: Anagha
preferred-citation:
  type: article
  title: 'scFeatureFilter: Correlation-Based Feature Filtering for Single-Cell RNAseq'
  authors:
  - family-names: Arzalluz-Luque
    given-names: Angeles
    email: angeles.arzalluz@gmail.com
  - family-names: Devailly
    given-names: Guillaume
    email: gdevailly@hotmail.com
  - family-names: Joshi
    given-names: Anagha
  journal: Bioinformatics and Biomedical Engineering
  doi: 10.1007/978-3-319-78723-7_31
  url: https://doi.org/10.1007/978-3-319-78723-7_31
  year: '2018'
  publisher:
    name: Springer International Publishing
  collection-title: Bioinformatics and Biomedical Engineering
  collection-type: article
  start: '364'
  end: '370'
repository: https://bioc.r-universe.dev
contact:
- family-names: Devailly
  given-names: Guillaume
  email: gdevailly@hotmail.com