Fig. 2: Comparison of PSM, peptide, and protein identification results between WinnowNet and MS2Rescore using MS-GF+ output.
From: Enhancing peptide identification in metaproteomics through curriculum learning in deep learning
a PSM-level results. b Peptide-level results. c Protein-level results. The term Loss denotes identifications exclusively derived from either the MS2Rescore or WinnowNet, while Shared indicates identifications obtained by both methods. Protein groups were excluded from the comparison. Note that the numbers at the center, top, and bottom of each bar indicate the absolute number of identifications at the PSM, peptide, or protein level with a 1% FDR. The y-axis represents the relative percentages of identifications categorized as Shared, Loss, and Gain, with Shared identifications normalized to 100%.
