Table 1 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, ν _MIPS and φ _MIPS , restricted to proteins with MIPS annotation. See also Table 2.

From: Identifying protein complexes directly from high-throughput TAP data with Markov random fields