five

FAIRsharing record for: Reproducibility standards for machine learning in the life sciences

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DataCite Commons2024-12-10 更新2025-04-15 收录
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https://fairsharing.org/10.25504/FAIRsharing.83a7af
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资源简介:
This FAIRsharing record describes: To make machine-learning analyses in the life sciences more computationally reproducible, we propose standards based on data, model and code publication, programming best practices and workflow automation. By meeting these standards, the community of researchers applying machine-learning methods in the life sciences can ensure that their analyses are worthy of trust.
提供机构:
FAIRsharing
创建时间:
2024-12-02
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