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Updated: Jul 18, 2025

Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization
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通过气相色谱-质谱仪对大规模非目标代谢进行Denoising自编码器规范化

Ying Zhang1, Sili Fan1, Gert Wohlgemuth1

  • 1West Coast Metabolomics Center, UC Davis, 451 Health Sciences Drive, Davis, CA 95616, USA.

Metabolites
|August 25, 2023
PubMed
概括

大规模气色谱-质谱 (GC-MS) 代谢学中的系统性错误阻碍了生物标志物的发现. 一种新方法SERDA显著提高了数据规范化精度,超过了流行病学研究的现有技术.

关键词:
在GCMS中使用.数据规范化的数据规范化.衍生化的衍生化初级新陈代谢的主要代谢.统计 统计 统计 统计 统计

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