Dynamic Bayesian Network for Accurate Detection of Peptides from Tandem Mass Spectra

• Published in: Journal of proteome research Vol. 15; no. 8; pp. 2749 - 2759
• Main Authors: Halloran, John T, Bilmes, Jeff A, Noble, William S
• Format: Journal Article
• Language: English
• Published: United States American Chemical Society 05.08.2016
• Subjects: Bayes Theorem; Databases, Protein; Machine Learning; Peptides - analysis; Proteomics - methods; Software; Tandem Mass Spectrometry; peptide detection; tandem mass spectrometry; machine learning; Bayesian network

A central problem in mass spectrometry analysis involves identifying, for each observed tandem mass spectrum, the corresponding generating peptide. We present a dynamic Bayesian network (DBN) toolkit that addresses this problem by using a machine learning approach. At the heart of this toolkit is a...