Fig. 3: Identification results evaluation of DreamDIA on the mouse cerebellum dataset.
a–f Identification consistency of mouse precursors, peptides, and proteins at 1% precursor FDR using two-species library method and decoy-based default FDR method. Precursors identified at least once for each software tool in all 10 runs on the MCB dataset were considered. g Logarithmic intensity distributions of the mouse precursors identified at 1% precursor FDR using two-species library method. All the precursor identification records in all 10 runs for each software tool were considered. To make the distributions comparable, the logarithmic intensities were z-normalized by subtracting the mean intensity and then divided by the standard deviation. h Log10-intensities of the precursors uniquely identified by DreamDIA in all the biologically independent 10 runs on the MCB datasets.
