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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 "BUScorrect" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'BUScorrect: Batch Effects Correction with Unknown Subtypes'
version: 1.23.0
abstract: High-throughput experimental data are accumulating exponentially in public
  databases. However, mining valid scientific discoveries from these abundant resources
  is hampered by technical artifacts and inherent biological heterogeneity. The former
  are usually termed "batch effects," and the latter is often modelled by "subtypes."
  The R package BUScorrect fits a Bayesian hierarchical model, the Batch-effects-correction-with-Unknown-Subtypes
  model (BUS), to correct batch effects in the presence of unknown subtypes. BUS is
  capable of (a) correcting batch effects explicitly, (b) grouping samples that share
  similar characteristics into subtypes, (c) identifying features that distinguish
  subtypes, and (d) enjoying a linear-order computation complexity.
authors:
- family-names: Luo
  given-names: Xiangyu
  email: xyluo1991@gmail.com
- family-names: Wei
  given-names: Yingying
  email: yweicuhk@gmail.com
preferred-citation:
  type: manual
  title: Batch Effects Correction with Unknown Subtypes
  authors:
  - family-names: Luo
    given-names: Xiangyu
    email: xyluo1991@gmail.com
  - family-names: Wei
    given-names: Yingying
    email: yweicuhk@gmail.com
  year: '2019'
  notes: 'Journal of the American Statistical Association, 114:526, 581-594, DOI:
    10.1080/01621459.2018.1497494'
repository: https://bioc.r-universe.dev
date-released: '2018-06-07'
contact:
- family-names: Luo
  given-names: Xiangyu
  email: xyluo1991@gmail.com