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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 "MetaDICT" in publications use:'
type: software
license: Artistic-2.0
title: 'MetaDICT: Microbiome data integration method via shared dictionary learning'
version: 1.3.0
doi: 10.1038/s41467-025-63425-y
identifiers:
- type: doi
  value: 10.32614/CRAN.package.MetaDICT
abstract: MetaDICT is a method for the integration of microbiome data. This method
  is designed to remove batch effects and preserve biological variation while integrating
  heterogeneous datasets. MetaDICT can better avoid overcorrection when unobserved
  confounding variables are present.
authors:
- family-names: Yuan
  given-names: Bo
  email: boyuan5@illinois.edu
  orcid: https://orcid.org/0009-0008-5428-4447
- family-names: Wang
  given-names: Shulei
  email: shuleiw@illinois.edu
preferred-citation:
  type: article
  title: Microbiome Data Integration via Shared Dictionary Learning
  authors:
  - family-names: Yuan
    given-names: Bo
    email: boyuan5@illinois.edu
    orcid: https://orcid.org/0009-0008-5428-4447
  - family-names: Wang
    given-names: Shulei
    email: shuleiw@illinois.edu
  journal: Nature Communications
  year: '2025'
  doi: 10.1038/s41467-025-63425-y
repository: https://bioc.r-universe.dev
repository-code: https://github.com/BoYuan07/MetaDICT
commit: fabe04bd3f4589230bec9af820bdc2cd9cf38336
url: https://github.com/BoYuan07/MetaDICT
date-released: '2026-04-28'
contact:
- family-names: Yuan
  given-names: Bo
  email: boyuan5@illinois.edu
  orcid: https://orcid.org/0009-0008-5428-4447