Fig. 5: Comparison of identification results at multiple levels.
From: Enhancing peptide identification in metaproteomics through curriculum learning in deep learning
a–c PSM, peptide, and protein identification results, along with the false matching rate (FMR), at 1% FDR on the mock P1 dataset mixed with foreign species, using four metaproteomics pipelines with either default filters or WinnowNet as an alternative filter. The blue line plot shows the FMR using default filters, while the red line plot shows the FMR when using WinnowNet. SE denotes Sipros-Ensemble, R refers to the default filters used in the pipelines, and Win represents the self-attention-based WinnowNet method.
