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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 "nnSVG" in publications use:'
type: software
license: MIT
title: 'nnSVG: Scalable identification of spatially variable genes in spatially-resolved
  transcriptomics data'
version: 1.9.0
doi: 10.1038/s41467-023-39748-z
abstract: Method for scalable identification of spatially variable genes (SVGs) in
  spatially-resolved transcriptomics data. The method is based on nearest-neighbor
  Gaussian processes and uses the BRISC algorithm for model fitting and parameter
  estimation. Allows identification and ranking of SVGs with flexible length scales
  across a tissue slide or within spatial domains defined by covariates. Scales linearly
  with the number of spatial locations and can be applied to datasets containing thousands
  or more spatial locations.
authors:
- family-names: Weber
  given-names: Lukas M.
  email: lmweberedu@gmail.com
  orcid: https://orcid.org/0000-0002-3282-1730
- family-names: Hicks
  given-names: Stephanie C.
  email: shicks19@jhu.edu
  orcid: https://orcid.org/0000-0002-7858-0231
preferred-citation:
  type: article
  title: nnSVG for the scalable identification of spatially variable genes using nearest-neighbor
    Gaussian processes
  authors:
  - family-names: Weber
    given-names: Lukas M.
    email: lmweberedu@gmail.com
    orcid: https://orcid.org/0000-0002-3282-1730
  - family-names: Saha
    given-names: Arkajyoti
  - family-names: Datta
    given-names: Abhirup
  - family-names: Hansen
    given-names: Kasper D.
  - family-names: Hicks
    given-names: Stephanie C.
    email: shicks19@jhu.edu
    orcid: https://orcid.org/0000-0002-7858-0231
  journal: Nature Communications
  year: '2023'
  volume: '14'
  issue: '4059'
  doi: 10.1038/s41467-023-39748-z
repository: https://bioc.r-universe.dev
repository-code: https://github.com/lmweber/nnSVG
url: https://github.com/lmweber/nnSVG
contact:
- family-names: Weber
  given-names: Lukas M.
  email: lmweberedu@gmail.com
  orcid: https://orcid.org/0000-0002-3282-1730