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

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 methods lies within the significant number of false positive and false negative annotations. So far, standard algorithms for… CONTINUE READING