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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 "scCB2" in publications use:'
type: software
license: GPL-3.0-only
title: 'scCB2: CB2 improves power of cell detection in droplet-based single-cell RNA
  sequencing data'
version: 1.15.0
doi: 10.1186/s13059-020-02054-8
identifiers:
- type: doi
  value: 10.32614/CRAN.package.scCB2
abstract: scCB2 is an R package implementing CB2 for distinguishing real cells from
  empty droplets in droplet-based single cell RNA-seq experiments (especially for
  10x Chromium). It is based on clustering similar barcodes and calculating Monte-Carlo
  p-value for each cluster to test against background distribution. This cluster-level
  test outperforms single-barcode-level tests in dealing with low count barcodes and
  homogeneous sequencing library, while keeping FDR well controlled.
authors:
- family-names: Ni
  given-names: Zijian
  email: zni25@wisc.edu
preferred-citation:
  type: article
  title: CB2 improves power of cell detection in droplet-based single-cell RNA sequencing
    data
  authors:
  - family-names: Ni
    given-names: Zijian
    email: zni25@wisc.edu
  - family-names: Chen
    given-names: Shuyang
  - family-names: Brown
    given-names: Jared
  - family-names: Kendziorski
    given-names: Christina
  journal: Genome Biology
  year: '2020'
  doi: 10.1186/s13059-020-02054-8
repository: https://bioc.r-universe.dev
repository-code: https://github.com/zijianni/scCB2
commit: 35426baf5230c06206d95d47b56fe91fa67c4738
url: https://github.com/zijianni/scCB2
contact:
- family-names: Ni
  given-names: Zijian
  email: zni25@wisc.edu