Nonparametric Models for Peak Identification and Quantification in MALDI-TOF Mass Spectroscopy

Abstract

We present a novel nonparametric Bayesian model using Lévy random field priors for identifying the presence and abundance of proteins from mass spectrometry data. Informed prior distributions, based on expert opinion and on preliminary laboratory experiments, help distinguish true peaks from background noise and help resolve un-certainty about peak multiplicity