alexa Improved peak detection in mass spectrum by incorporating continuous wavelet transform-based pattern matching
Mathematics

Mathematics

Journal of Applied & Computational Mathematics

Author(s): Pan Du

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Motivation: A major problem for current peak detection algorithms is that noise in mass spectrometry (MS) spectra gives rise to a high rate of false positives. The false positive rate is especially problematic in detecting peaks with low amplitudes. Usually, various baseline correction algorithms and smoothing methods are applied before attempting peak detection. This approach is very sensitive to the amount of smoothing and aggressiveness of the baseline correction, which contribute to making peak detection results inconsistent between runs, instrumentation and analysis methods.

This article was published in Bioinformatics and referenced in Journal of Applied & Computational Mathematics

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