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Updated: Jun 3, 2025

A Strategy for Sensitive, Large Scale Quantitative Metabolomics
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A Strategy for Sensitive, Large Scale Quantitative Metabolomics

Published on: May 27, 2014

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一个快速的兴趣区域算法,用于高效的数据压缩和在高分辨率质谱学中改进的峰值检测

Oskar Munk Kronik1, Jan H Christensen2, Nikoline Juul Nielsen2

  • 1Department of Plant and Environmental Science, University of Copenhagen, Thorvaldsensvej 40, DK-1871, Frederiksberg, Denmark. omkr@plen.ku.dk.

Analytical and bioanalytical chemistry
|January 9, 2025
PubMed
概括

处理液体染色学-高分辨率质谱学 (LC-HRMS) 数据的新算法改善了数据压缩和化合物识别. 这种方法提高了在多个样本中匹配感兴趣的区域 (ROI) 的准确性,有助于复杂混合物分析.

关键词:
染色体学 染色体学 是一种染色学.数据预处理数据的预处理.高分辨率质谱测量高分辨率质谱测量不针对目标的查.目标参数化的目标参数化感兴趣的地区

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