Barkauskas Donald A, Kronewitter Scott R, Lebrilla Carlito B, Rocke David M
Children's Oncology Group, Arcadia, CA 91006, USA.
Anal Chim Acta. 2009 Aug 26;648(2):207-14. doi: 10.1016/j.aca.2009.06.064. Epub 2009 Jul 5.
Matrix-assisted laser desorption/ionization Fourier transform ion cyclotron resonance mass spectrometry is a technique for high mass-resolution analysis of substances that is rapidly gaining popularity as an analytic tool. Extracting signal from the background noise, however, poses significant challenges. In this article, we model the noise part of a spectrum as an autoregressive, moving average (ARMA) time series with innovations given by a generalized gamma distribution with varying scale parameter but constant shape parameter and exponent. This enables us to classify peaks found in actual spectra as either noise or signal using a reasonable criterion that outperforms a standard threshold criterion.
基质辅助激光解吸/电离傅里叶变换离子回旋共振质谱法是一种用于对物质进行高质量分辨率分析的技术，作为一种分析工具正迅速受到欢迎。然而，从背景噪声中提取信号面临重大挑战。在本文中，我们将光谱的噪声部分建模为自回归移动平均（ARMA）时间序列，其创新部分由具有变化尺度参数但形状参数和指数恒定的广义伽马分布给出。这使我们能够使用一种合理的标准将实际光谱中发现的峰分类为噪声或信号，该标准优于标准阈值标准。
