首页>
外国专利>
SYSTEMS AND METHODS FOR FEATURE DETECTION IN MASS SPECTROMETRY USING SINGULAR SPECTRUM ANALYSIS
SYSTEMS AND METHODS FOR FEATURE DETECTION IN MASS SPECTROMETRY USING SINGULAR SPECTRUM ANALYSIS
展开▼
机译:使用奇异谱分析的质谱检测特征的系统和方法
展开▼
页面导航
摘要
著录项
相似文献
摘要
Singular spectrum analysis is used to detect a feature from mass spectrometry data. A plurality of scans of a sample is performed producing mass spectrometry data using a spectrometer. A singular spectrum analysis is performed on the mass spectrometry data using a fixed window width in which one or more components other than the highest ranked component are grouped in a set and the one or more components grouped in the set are summed producing reconstructed data using the processor. A feature of the mass spectrometry data is detected by analyzing an aspect of the reconstructed data using the processor. Analyzing an aspect of the reconstructed data includes using pairs of zero crossings in the reconstructed data to detect bounds on a location of the feature in the mass spectrometry data.
展开▼