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29 lines (29 loc) · 881 Bytes
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cff-version: 1.2.0
message: "If you use or reference this schema in your work, please cite this paper."
title: "DOME Registry: implementing community-wide recommendations for reporting supervised machine learning in biology"
type: article
license: CC-BY-4.0
repository-code: "https://github.com/BioComputingUP/dome-schema"
journal: "GigaScience"
year: 2024
volume: 13
issue-title: "giae094"
doi: "10.1093/gigascience/giae094"
url: "https://doi.org/10.1093/gigascience/giae094"
keywords:
- DOME
- machine learning
- schema
- metadata
- FAIR
- ELIXIR
- bioinformatics
- AI reproducibility
authors:
- family-names: Attafi
given-names: Omar
affiliation: BioComputingUP, University of Padova, Italy
- family-names: Farrell
given-names: Gavin
affiliation: BioComputingUP, University of Padova, Italy
orcid: "https://orcid.org/0000-0002-0558-8337"