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# CITATION file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "BUSseq" in publications use:'
type: software
license: Artistic-2.0
title: 'BUSseq: Batch Effect Correction with Unknow Subtypes for scRNA-seq data'
version: 1.11.0
abstract: BUSseq R package fits an interpretable Bayesian hierarchical model---the
  Batch Effects Correction with Unknown Subtypes for scRNA seq Data (BUSseq)---to
  correct batch effects in the presence of unknown cell types. BUSseq is able to simultaneously
  correct batch effects, clusters cell types, and takes care of the count data nature,
  the overdispersion, the dropout events, and the cell-specific sequencing depth of
  scRNA-seq data. After correcting the batch effects with BUSseq, the corrected value
  can be used for downstream analysis as if all cells were sequenced in a single batch.
  BUSseq can integrate read count matrices obtained from different scRNA-seq platforms
  and allow cell types to be measured in some but not all of the batches as long as
  the experimental design fulfills the conditions listed in our manuscript.
authors:
- family-names: Song
  given-names: Fangda
  email: sfd1994895@gmail.com
  orcid: https://orcid.org/0000-0001-6007-3517
- family-names: Chan
  given-names: Ga Ming
  email: middletotheleft@gmail.com
- family-names: Wei
  given-names: Yingying
  email: ywei@cuhk.edu.hk
  orcid: https://orcid.org/0000-0003-3826-336X
repository: https://bioc.r-universe.dev
repository-code: https://github.com/songfd2018/BUSseq
url: https://github.com/songfd2018/BUSseq
date-released: '2021-06-01'
contact:
- family-names: Song
  given-names: Fangda
  email: sfd1994895@gmail.com
  orcid: https://orcid.org/0000-0001-6007-3517