qPeaks:基于线性回归的不对称峰值模型,用于在非目标查数据中无参数自动检测和表征色谱峰值
Max Reuschenbach1,2, Felix Drees1,2, Michael S Leupold1,2
1Instrumental Analytical Chemistry, University of Duisburg-Essen, Universitätsstr.5, Essen 45141, Germany.
qPeaks 是一种新的,无参数的算法,用于检测和表征色谱峰值. 它提供数据质量评分,以提高非目标查的可靠性和效率,减少假阳性.
科学领域:
- 分析化学 分析化学
- 染色体学 染色体学 是一种染色学.
- 质谱测量质量谱测量
背景情况:
- 染色图数据分析需要强大的峰值检测.
- 非目标选要求高效可靠的特征识别.
- 现有的方法可能缺乏无参数选项和可靠的质量评估.
研究的目的:
- 介绍qPeaks,一个新的,用户无参数的算法,用于染色学峰值检测和表征.
- 提高复杂数据集峰值分析的可靠性和透明度.
- 提高非目标选应用的效率.
主要方法:
- 开发了一种可线性化的回归模型,用于分析不对称的色谱峰值.
- 对峰值回归参数实施的不确定性估计.
- 根据参数不确定性得出数据质量评分 (DQS峰值).
- 将qPeaks集成到qAlgorithms工具箱中,用于全面的非目标选.
主要成果:
- qPeaks提供无参数的峰值检测和表征.
- DQS峰值得分提高了透明度,并优先考虑可靠的功能.
- 高的DQS峰峰值表明,假阳性率降低,可重复性提高.
- 该算法在处理大型数据集时效率高.
结论:
- qPeaks为色谱峰值分析提供了一个强大的,无参数的解决方案.
- DQS峰值指标可以提高数据质量评估和特征可靠性.
- qPeaks非常适合用于高通量非目标选,特别是高分辨率质谱.
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