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Bayesian peak detection for Pro-TOF MS MALDI data | IEEE Conference Publication | IEEE Xplore

Bayesian peak detection for Pro-TOF MS MALDI data


Abstract:

In this paper, a novel Bayesian peak detection algorithm is proposed for peptide peak detection in high resolution prOTOFtrade MALDI Mass Spectrometry(MS) data. A nonline...Show More

Abstract:

In this paper, a novel Bayesian peak detection algorithm is proposed for peptide peak detection in high resolution prOTOFtrade MALDI Mass Spectrometry(MS) data. A nonlinear parametric model is proposed for modeling the peptide signals, chemical noise, and thermal noise. A metropolized Gibbs sampling algorithm is derived for Bayesian peak detection. The proposed algorithm is compared with a popular wavelet-based algorithm and the results show a significant improvement in performance on simulated data. The algorithm is finally tested on real MS MALDI data and the results agree with visual inspection very well.
Date of Conference: 31 March 2008 - 04 April 2008
Date Added to IEEE Xplore: 12 May 2008
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Conference Location: Las Vegas, NV

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