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

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Cited by papers we hold 3

• AlphaPeptDeep: a modular deep learning framework to predict peptide properties for proteomics · 2022
  No notice
• HLA Ligand Atlas: a benign reference of HLA-presented peptides to improve T-cell-based cancer immunotherapy · 2021
  No notice
• OpenMS – An open-source software framework for mass spectrometry · 2008
  No notice

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