| 摘要(英) |
Motivation: There are a lot of gene sequence analyses, especially the time after human genome project. The proteomics becomes more and more attractive for biologists. It can bridge the gap between the genome sequence and the cellular behavior. We are concerned about the Mass spectrometry which is high throughput, fast, and accurate. Matrix assisted laser desorption ionization (MALDI) and surface-enhanced laser desorption ionization (SELDI) time of flight (TOF) are two popular technologies in the field of spectrometry. With the peaks detected in spectra, we can compare the normal group with disease. However, the spectrum is complicated and full of noise. Consequently, the preprocessing of the mass data plays an important role during our analysis.
Results: We provide a novel algorithm of preprocessing dealing with the MALDI and SELDI spectrum. The algorithm uses the Hilbert-Huang Transform mainly. We compare the performance of several famous algorithms including PROcess, SpecAlign, and MassSpecWavelet with ours called HHT. The main thought of performance is chiefly visual comparison. We pick the significant peaks and observe the results which the algorithm shows in figure. The results show that HHT for preprocessing is more fitness than others. Not only detecting the peaks, but HHT has the advantage of denoising the spectra, especially for the complex data.
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| 參考文獻 |
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