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Updated: Jun 3, 2025

Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved Non-model Organisms
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联合学习:在全球基因组研究中打破障碍

Giulia Calvino1,2, Cristina Peconi1, Claudia Strafella1

  • 1Genomic Medicine Laboratory UILDM, IRCCS Santa Lucia Foundation, 00179 Rome, Italy.

Genes
|January 8, 2025
PubMed
概括

联合学习 (FL) 能够实现安全,分散的基因组数据分析,克服数据孤岛和隐私问题. 这种方法支持协作研究,并推进精密医学,同时遵守GDPR等法规.

关键词:
在NGS中排序顺序.人工智能的人工智能是人工智能.联合学习的联合学习基因组数据的隐私 基因组数据的隐私机器学习是机器学习.精准医学是一门精准医学.

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