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

Abstract

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.