PeakLink (PL) uses information in both the time and frequency domain as inputs to a non-linear support vector machine (SVM) classifier. The PL algorithm first uses a threshold on retention time to remove candidate corresponding peaks with excessively large elution time shifts, then PL calculates the correlation between a pair of candidate peaks after removing noise through wavelet transformation. After converting retention time and peak shape correlation to statistical scores, an SVM classifier is trained and applied for differentiating corresponding and non-corresponding peptide peaks.
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Bioinformatics. 2014 Sep 1;30(17):2464-70. doi: 10.1093/bioinformatics/btu299. Epub 2014 May 9.
PeakLink: a new peptide peak linking method in LC-MS/MS using wavelet and SVM.
Ghanat Bari M, Ma X, Zhang J.