ArticleIEEE transactions on signal processing : a publication of the IEEE Signal Processing Society2010
Bayesian Peptide Peak Detection for High Resolution TOF Mass Spectrometry.
Article in IEEE transactions on signal processing : a publication of the IEEE Signal Processing Society, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Phenotype-Genotype analysis of caucasian patients with high risk of osteoarthritis.Frontiers in genetics · 2022Article
- FDR control of detected regions by multiscale matched filtering.Communications in statistics: Simulation and computation · 2017Article
- Peptide Peak Detection for Low Resolution MALDI-TOF Mass Spectrometry.Mass spectrometry (Tokyo, Japan) · 2014Article
Corrections and comments
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Authors and funding
7 authors.
Funding
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.
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Registered trials
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