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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 "scBFA" in publications use:'
type: software
license: GPL-3.0-only
title: 'scBFA: A dimensionality reduction tool using gene detection pattern to mitigate
  noisy expression profile of scRNA-seq'
version: 1.19.0
abstract: This package is designed to model gene detection pattern of scRNA-seq through
  a binary factor analysis model. This model allows user to pass into a cell level
  covariate matrix X and gene level covariate matrix Q to account for nuisance variance(e.g
  batch effect), and it will output a low dimensional embedding matrix for downstream
  analysis.
authors:
- family-names: Li
  given-names: Ruoxin
  email: uskli@ucdavis.edu
- family-names: Quon
  given-names: Gerald
  email: gquon@ucdavis.edu
repository: https://bioc.r-universe.dev
repository-code: https://github.com/ucdavis/quon-titative-biology/BFA
url: https://github.com/ucdavis/quon-titative-biology/BFA
date-released: '2019-03-09'
contact:
- family-names: Li
  given-names: Ruoxin
  email: uskli@ucdavis.edu