Comparison of Peak Detection Algorithms for Mass Spectrometry Data
Author Information
Author(s): Yang Chao, He Zengyou, Yu Weichuan
Primary Institution: The Hong Kong University of Science and Technology
Hypothesis
What is the performance of different peak detection algorithms in mass spectrometry data analysis?
Conclusion
The continuous wavelet-based algorithm provides the best average performance among the compared peak detection methods.
Supporting Evidence
- The study provides a comprehensive survey of existing peak detection methods.
- Five typical peak detection algorithms were selected for performance comparison.
- The results show that the continuous wavelet-based algorithm outperforms others.
Takeaway
This study looks at different ways to find peaks in mass spectrometry data and finds that one method works better than the others.
Methodology
The study categorizes existing peak detection algorithms and compares their performance using both simulation data and real MALDI mass spectrometry data.
Limitations
The algorithms mainly focus on identifying peak positions and do not address how to compute peak abundance.
Digital Object Identifier (DOI)
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