Cluster Group | Cluster Size | -log10(P) Values | Correction | Correlation | Precision |
---|
 |  | Max. | Min. | Ave. | Max. | Min. | Ave. | Ave. | Ave. |
 | B | 61 | 4 | 2.5 | 4.2 | 1.2 | 1.7 | 0.609 | 0.753 |
 | D | 175 | 8 | 5.5 | 13.7 | 1.5 | 3.9 | 0.362 | 0.641 |
 | F | 102 | 102 | 2.9 | 2.9 | 2.9 | 0.9 | 0.172 | 0.494 |
A | Initial | 271 | 2 | 20.0 | 140.1 | 0a | 19.7 | 0.655 | 0.461 |
 | Final | 271 | 2 | 21.7 | 140.1 | 1.8b | 20.6 | 0.707 | 0.522 |
C | Â | 116 | 2 | 10.4 | 33.3 | 3.2 | 9.5 | 0.672 | 0.735 |
E | Initialc | - | - | - | - | - | - | - | - |
 | Final | 88 | 2 | 4.4 | 11.4 | 1.1 | 3.4 | 0.635 | 0.440 |
- Genes in dataset III are clustered by EP_GOS_Clust through a sequential process outlined in Figure 3. Genes in cluster groups A and E are further clustered by the iterative algorithm, yielding an initial and final set of clusters. Precision is defined as the fraction of genes within a cluster assigned to the predominant functional group within that cluster.
- aThe cluster p-value is zero if a GO search did not manage to uncover any significant annotation.
- bAfter iteratively clustering 184 genes into 15 initial clusters ('A' on Figure 3), just one poor cluster remains. The next worse cluster has a -log10(P) value of 4.1.
- cThere are no applicable initial values here since the remaining genes to be clustered are subjected to the second filter before being re-clustered into the initial 6 clusters (see Figure 3).