Statistical learning of peptide retention behavior in chromatographic separations: a new kernel-based approach for computational proteomics

<p>Abstract</p> <p>Background</p> <p>High-throughput peptide and protein identification technologies have benefited tremendously from strategies based on tandem mass spectrometry (MS/MS) in combination with database searching algorithms. A major problem with existing me...

Full description

Bibliographic Details
Main Authors: Huber Christian G, Leinenbach Andreas, Pfeifer Nico, Kohlbacher Oliver
Format: Article
Language:English
Published: BMC 2007-11-01
Series:BMC Bioinformatics
Online Access:http://www.biomedcentral.com/1471-2105/8/468