articleTop 1% cited
Semi-supervised learning for peptide identification from shotgun proteomics datasets
Nature Methods · 2007 · Vol. 4(11) · pp. 923–925
Lukas Käll✉(University of Washington)Jesse D. Canterbury(University of Washington)Jason Weston(SciTec (United States))William Stafford Noble(University of Washington)Michael J. MacCoss(University of Washington)
Advanced Proteomics Techniques and ApplicationsMass Spectrometry Techniques and ApplicationsIdentification and Quantification in FoodShotgun proteomicsShotgunProteomicsTandem mass spectrometryIdentification (biology)PeptideBottom-up proteomicsMass spectrometryChromatographyComputer science
MeSH terms
AlgorithmsArtificial IntelligenceChymotrypsinPancreatic ElastasePeptide FragmentsSoftwareTrypsinProteomeSaccharomyces cerevisiae ProteinsDatabases, ProteinProteomicsTandem Mass Spectrometry
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Empirical Statistical Model To Estimate the Accuracy of Peptide Identifications Made by MS/MS and Database Search
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