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The corresponding cluster predicted by PCP is a twenty five-member cluster, and the other members of the real complex do not belong to the PCP cluster.
These factors were obtained by observing the relationship between scores and precision levels in the cross-validation results for each approach (e.g. a cluster predicted by DECOMP with a score of 0.6 obtained roughly the same precision as a cluster predicted by SWC with a score of 1.0).
We present two illustrative examples in Figure 2. The first example) is the unmatched cluster predicted by CMC on the original network of PPI Gavin 2. This cluster contains a four-member protein complex with specific GO cellular component annotation (GO.0005956; protein kinase CK2 complex).
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Twi, which is critical for mesoderm specification, has two clusters predicted by both programs in constructs −1.0 and −1.5 kb and another in constructs −3.0 kb and −3.8 kb.
The row of #cluster shows the number of clusters predicted by each algorithm.
We also compare the precision and recall of the clusters predicted by the four algorithms.
In this section, we present five matched and unmatched clusters predicted by CFA.
In addition, we examined the overlap between the modules predicted by our method and the clusters predicted by HC.
Thus, voting helps to increase precision by giving greater scores to those clusters predicted by multiple clustering algorithms.
Let C i be the set of all clusters predicted by an algorithm on G i ⋅ C L = ∪ i = 1 k C i denotes the set of all clusters predicted by the algorithm on G.
Detailed information on all clusters predicted by our method including the positions of all sequences is available online [ 25].
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