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Updated: May 6, 2026

A Strategy for Sensitive, Large Scale Quantitative Metabolomics
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局部邻居规范化:在大规模代谢学中协调准确的规范化和异质性恢复

Keyi Lu1, Yaru Liu1, Kian-Kai Cheng2

  • 1Department of Electronic Science, National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, 361005, China.

Analytica chimica acta
|September 3, 2025
PubMed
概括

局部邻居正常化 (LNN) 是纠正代谢学数据中的稀释效应的一种新方法. 它保持了数据的可变性,并改善了下游分析,如生物标志物的发现.

关键词:
稀释效应异质性当地的邻居正常化代谢学

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