Table 6

Estimates for the FN errors of each filtered dataset

Dataset (ref.)

N

n

PFN

E [W1]

E [W2]

Uobs

Robs


ItoFull [1]

720

1,200

0.76

438

693

435

259,132

ItoCore [1]

128

100

0.38

47

14

43

8,156

Uetz et al. [6]

108

78

0.65

35

33

36

5,822

Gavin et al. [10]

852

2,429

0.44

1197

470

1,201

362,209

Krogan et al. [11]

1,458

11,744

0.80

3758

7,516

3,945

1,062,344


The expected number of false-negative (FN) errors on the filtered datasets for [1,6,10,11]. N is the number of proteins within each filtered dataset. The values for PFN and n are estimated upper bounds obtained by setting PFP = 0 and using the solution curves of Figure 6c,d. Denote W1 as the random variable for the number of unreciprocated FN observations, and W2 for the number of reciprocated FN observations. The variables Uobs and Robs show the observed number of unreciprocated and reciprocated interactions from the data, respectively. The table implies that in the worst case scenario for PFN, the doubly tested, reciprocated noninteracting protein pairs do not give us a conclusive indication about the presence or absence of an interaction. For this, more data are needed.

Chiang et al. Genome Biology 2007 8:R186   doi:10.1186/gb-2007-8-9-r186

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