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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 "BayesSpace" in publications use:'
type: software
license: MIT
title: 'BayesSpace: Clustering and Resolution Enhancement of Spatial Transcriptomes'
version: 1.15.0
identifiers:
- type: doi
  value: 10.32614/CRAN.package.BayesSpace
abstract: Tools for clustering and enhancing the resolution of spatial gene expression
  experiments. BayesSpace clusters a low-dimensional representation of the gene expression
  matrix, incorporating a spatial prior to encourage neighboring spots to cluster
  together. The method can enhance the resolution of the low-dimensional representation
  into "sub-spots", for which features such as gene expression or cell type composition
  can be imputed.
authors:
- family-names: Zhao
  given-names: Edward
  email: ezhao@fredhutch.org
- family-names: Stone
  given-names: Matt
  email: mstone@fredhutch.org
preferred-citation:
  type: article
  title: BayesSpace enables the robust characterization of spatial gene expression
    architecture in tissue sections at increased resolution
  authors:
  - family-names: Zhao
    given-names: Edward
    email: ezhao@fredhutch.org
  - family-names: Stone
    given-names: Matthew R.
  - family-names: Ren
    given-names: Xing
  - family-names: Pulliam
    given-names: Thomas
  - family-names: Nghiem
    given-names: Paul
  - family-names: Bielas
    given-names: Jason H.
  - family-names: Gottardo
    given-names: Raphael
  journal: bioRxiv
  year: '2020'
  url: https://www.biorxiv.org/content/10.1101/2020.09.04.283812v1
repository: https://bioc.r-universe.dev
repository-code: https://github.com/edward130603/BayesSpace
commit: 251a88c0d9b5313409aec7fb32dd1f2c066d4b86
url: https://github.com/edward130603/BayesSpace
date-released: '2021-11-03'
contact:
- family-names: Stone
  given-names: Matt
  email: mstone@fredhutch.org