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References from Critical evaluation of the use of artificial data for machine learning based de novo peptide identification. Local targets link to admitted publications; unresolved targets remain external evidence.
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Algorithms for de novo peptide sequencing using tandem mass spectrometry
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False discovery rates in spectral identification
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Energy dependence of hcd on peptide fragmentation: stepped collisional energy finds the sweet spot
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A method for assessing the statistical significance of mass spectrometry-based protein identifications using general scoring schemes
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Synthetic data with neural machine translation for automatic correction in arabic grammar
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Unresolved reference
External reference
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Unresolved reference
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De novo analysis of peptide tandem mass spectra by spectral graph partitioning
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Proteome analysis of the hemolymph, mushroom body, and antenna provides novel insight into honeybee resistance against varroa infestation
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Proteomic and bioinformatic characterization of extracellular vesicles released from human macrophages upon influenza a virus infection
10.1021/acs.jproteome.6b00596 · 2017 · External reference
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2012 · External reference
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Application of a novel hybrid cnn-gnn for peptide ion encoding
2022 · External reference
Unresolved reference
External reference
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Peptide sequence analysis
10.1016/s0076-6879(05)02007-0 · 2005 · External reference
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Sequence scrambling in shotgun proteomics is negligible
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Unresolved reference
2006 · External reference
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Unresolved reference
2012 · External reference
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