|
Maximum likelihood solution for the spoke model (ψ = 3.5) and the matrix model (ν = 10.0). We choose the number of clusters that maximizes the likelihood by searching over a range of values of K. The estimated the false negative rate is denoted by ν* and the estimated false positive rate by φ*. For comparison we show the error estimates based on the MIPS complexes, νMIPS and φMIPS, restricted to proteins with MIPS annotation. See also Table 2. |
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| Dataset |
K |
ν* |
φ* |
νMIPS |
φMIPS |
|
|
|
||||||
| Gavin02 |
Spoke model |
393 |
0.423 |
1.3 × 10-3 |
0.598 |
6.5 × 10-3 |
| Matrix model |
310 |
0.752 |
1.7 × 10-3 |
0.717 |
5.2 × 10-3 |
|
| Gavin06 |
Spoke model |
698 |
0.547 |
2.4 × 10-3 |
0.637 |
8.3 × 10-3 |
| Matrix model |
550 |
0.807 |
2.7 × 10-3 |
0.901 |
6.4 × 10-3 |
|
Rungsarityotin et al. BMC Bioinformatics 2007 8:482 doi:10.1186/1471-2105-8-482 |
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