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. 2007 Sep 10;8(9):R186. doi: 10.1186/gb-2007-8-9-r186

Table 5.

Estimates for the FP errors of each filtered dataset

Dataset (ref.) N m PFP E [Y1] E [Y2] U obs R obs
ItoFull [1] 720 258,840 0.0008 414 0.17 435 68
ItoCore [1] 128 8,128 0.0025 41 0.05 43 36
Uetz et al. [6] 108 5,778 0.003 35 0.05 36 10
Gavin et al. [10] 852 362,526 0.0017 1230 1.10 1201 743
Krogan et al. [11] 1,458 1,062,153 0.0019 4,029 3.80 3945 538

Shown are the expected number of false positive (FP) errors on the filtered datasets for [1,6,10,11]. N is the number of proteins within each filtered dataset. The values for PFP and m are estimated upper bounds obtained by setting PFN = 0 and using the solution curves of Figure 6c,d. Denote Y1 as the random variable for the number of unreciprocated FP observations, and Y2 for the number of reciprocated FP observations. The variables Uobs and Robs show the observed number of unreciprocated and reciprocated interactions from the data, respectively. The table implies that even in the worst case scenario for maximal PFP, reciprocated edges mostly report true interactions.