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Updated: Jul 17, 2025

Chromatographic Fingerprinting by Template Matching for Data Collected by Comprehensive Two-Dimensional Gas Chromatography
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Chromatographic Fingerprinting by Template Matching for Data Collected by Comprehensive Two-Dimensional Gas Chromatography

Published on: September 2, 2020

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在平衡和不平衡的GC × GC-TOFMS数据集中分析发现的基于的随机森林分析

Meriem Gaida1, Caitlin N Cain2, Robert E Synovec2

  • 1Organic and Biological Analytical Chemistry Group, Molecular Systems Research Unit, University of Liège, 4000 Liège, Belgium.

Analytical chemistry
|August 30, 2023
PubMed
概括

一种新的基于的随机森林 (RF) 分析方法通过准确地识别复杂的生物样本中的重要特征,甚至通过不平衡的数据来增强非目标代谢学. 这种机器学习方法比传统的费舍尔比率分析提供了更严格的特征选择.

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