期刊
NATURE METHODS
卷 18, 期 10, 页码 1122-1127出版社
NATURE PORTFOLIO
DOI: 10.1038/s41592-021-01205-4
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资金
- ELIXIR
- Agency for Science, Technology and Research (A*STAR), Singapore [C210112057]
- Estonian Research Council [PRG1095, PSG59]
- Estonian Research Council (ERA-NET TRANSCAN-2 (BioEndoCar))
- ELIXIR [2014-2020.4.01.16-0271]
- European Regional Development Fund through EXCITE Center of Excellence
- European Union's Horizon 2020 research and innovation programme under Marie Skodowska-Curie Grant [778247, 823886]
- Italian Ministry of University and Research PRIN 2017 grant [2017483NH8]
DOME is a set of community-wide recommendations for reporting supervised machine learning-based analyses applied to biological studies, with the goal of improving machine learning assessment and reproducibility.
DOME is a set of community-wide recommendations for reporting supervised machine learning-based analyses applied to biological studies. Broad adoption of these recommendations will help improve machine learning assessment and reproducibility.
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