title: Bayesian Peptide Peak Detection for High Resolution TOF Mass Spectrometry.
abstract: In this paper, we address the issue of peptide ion peak detection for high resolution time-of-flight (TOF) mass spectrometry (MS) data. A novel Bayesian peptide ion peak detection method is proposed for TOF data with resolution of 10 000-15 000 full width at half-maximum (FWHW). MS spectra exhibit distinct characteristics at this resolution, which are captured in a novel parametric model. Based on the proposed parametric model, a Bayesian peak detection algorithm based on Markov chain Monte Carlo (MCMC) sampling is developed. The proposed algorithm is tested on both simulated and real datasets. The results show a significant improvement in detection performance over a commonly employed method. The results also agree with expert's visual inspection. Moreover, better detection consistency is achieved across MS datasets from patients with identical pathological condition.
authors.affiliation: Department of Electrical and Computer Engineering, University of Texas at San Antonio, TX 78249 USA.
authors.forename: Jianqiu
authors.initials: J
authors.lastname: Zhang
authors.forename: Xiaobo
authors.initials: X
authors.lastname: Zhou
authors.forename: Honghui
authors.initials: H
authors.lastname: Wang
authors.forename: Anthony
authors.initials: A
authors.lastname: Suffredini
authors.forename: Lin
authors.initials: L
authors.lastname: Zhang
authors.forename: Yufei
authors.initials: Y
authors.lastname: Huang
authors.forename: Stephen
authors.initials: S
authors.lastname: Wong