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An Approximate Bayesian Detection Scheme with Applications to Tandem Mass Spectrometry Data Analysis

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5 Author(s)
Emanuele II, V.A. ; Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA ; Olman, V. ; Yan, B. ; Ying Xu
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In this paper, we present a solution to a special classification problem that we have encountered during the analysis of tandem mass spectrometry data of proteins. First, we present a thorough statistical analysis of our data set. From this analysis, we build a model for the data that allows us to formulate our mass spectrometry data analysis problem as a special kind of classification problem. We propose a solution to this problem and show some results on simulated and real data sets

Published in:

Digital Signal Processing Workshop, 12th - Signal Processing Education Workshop, 4th

Date of Conference:

24-27 Sept. 2006