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Table 2 Target PSMs output by PeptideProphet, Percolator, and CRanker.

From: An adaptive classification model for peptide identification

Data Method Total TP FP
  PepProphet 582 566 16
ups1 Percolator 450 438 12
  CRanker 601 585 16
  PepProphet 1481 1443 38
yeast Percolator 1429 1394 35
  CRanker 1491 1455 36
  PepProphet 16025 15638 387
tal08 Percolator 14725 14371 354
  CRanker 16806 16390 416
  PepProphet 34035 33233 802
orbit-mips Percolator 34118 33270 848
  CRanker 35003 34123 880
  PepProphet 36542 35673 869
orbit-nomips Percolator 36962 36096 866
  CRanker 37337 36416 921
  PepProphet 123908 120961 2947
velos-mips Percolator 125701 122568 3133
  CRanker 125783 122624 3159
  PepProphet 180182 175789 4393
velos-nomips Percolator 178082 173719 4363
  CRanker 183492 178900 4592
  1. PepProphet: PeptideProphet. TP: number of true positive PSMs. FP: number of flase positive PSMs.
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