An improved algorithm for peak detection in mass spectra based on continuous wavelet transform
作者： Ying Zheng , Runlong Fan , Chunling Qiu , Zhen Liu , Di Tian
DOI: 10.1016/J.IJMS.2016.09.020
关键词:
摘要: Abstract Peak detection is an important preprocessing step in the analysis of mass spectrometry data. Currently, most peak methods have limited identification ability when there are overlapping or low-amplitude peaks. In this paper, we present improved algorithm that combines continuous wavelet transform (CWT) with crazy climber algorithm. Particles move on CWT coefficient matrix according to certain rules, and gradually gather at local maximal points. Peaks identified by drawing ridges based weighted occupation measure grid The proposed method evaluated using simulated noisy spectra real benzene nitrogen. results show approach better identifying peaks than existing methods. Receiver operating characteristic curves can detect more true while maintaining a low false discovery rate.
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