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Table 2 Results achieved with the three methods for estimating variant FDRs on simulated data, with the FDR control level at 1%

From: Transfer posterior error probability estimation for peptide identification

n

iCombined FDR

iSeparate FDR

iTransfer FDR

 

Ave.#I.D.s

Est.error(%)

Ave.#I.D.s

Est.error(%)

Ave.#I.D.s

Est.error(%)

 

(false/all)

Mean

SD

(false/all)

Mean

SD

(false/all)

Mean

SD

1

10.22/10.70

-94.36

5.13

0.21/0.55

-16.95

34.64

0.00/0.25

0.00

0.02

5

10.76/13.09

-80.95

8.84

0.30/2.05

-11.09

20.57

0.00/1.24

0.01

0.07

10

10.09/14.87

-66.43

9.50

0.60/4.17

-12.92

11.63

0.00/2.50

0.04

0.14

20

10.90/20.57

-51.64

9.08

0.72/ 8.07

-8.86

6.31

0.00/5.30

0.08

0.19

50

10.53/34.44

-29.25

6.87

0.73/19.07

-3.60

2.57

0.00/13.28

0.20

0.27

100

10.67/58.64

-17.09

4.54

0.73/38.27

-1.43

1.25

0.00/27.40

0.42

0.35

  1. Note: n, the number of variant mass spectra; Ave.#I.D.s, average number of false/all identifications of variant peptides from the target database at 1% estimated FDR; Est.error, the difference between the estimated FDR and the real FDR; Mean and SD, mean and standard deviation of the Est.error as percentage